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국가 에너지절약정책 평가시스템 구축 모형 : 공공·공통부문 에너지
절약 데이터베이스 구축
기본 연구 보고서
14-35
국가 에너지절약정책 평가시스템 구축 모형 : 공공·공통부문 에너지절약 데이터베이스 구축
KOREA ENERGY ECONOMICS INSTITUTE www.keei.re.kr
박 기 현 심 성 희
국가 에너지절약정책 평가시스템 구축 모형 : 공공·공통부문 에너지
절약 데이터베이스 구축
기본 연구 보고서
14-35
ኒᄥᄨఐሰ
⮮ጪ㈃ⵂⵎ# =# ⮮ጪⳂⲎ# # ⇓Ꮾ㯂
⮮ጪⳂⲎ# # ⢪⛯㴪
⮮ጪㇶ⮪ⵎ# =# Ⳃ㋇⮮ጪⲎ# # ⾂ቻ Ⳃ㋇⮮ጪⲎ# # ⬆⺾㰋
ⴲ㒦⛢㣃㯏ᦗ⸮㬧# ⇓♪# # ⢪♿ᷪ#
Xqlyhuvlw|# ri# Whqqhvvhh# ጎ⟖# # ⸮⛯㲆#
ᴶ `ὦῲဓᨆᏽ؞⺲ᒮ⹂૮Ἷ૮ࢢṦ`ὦᷚѢᒮ⹂၊
ὦⵢᶾࣶ↮ῶᵫӪ⺖ⶓӪЇἮᶾࣶ↮ᨆẂӮᆚẂᏽᶾ
ࣶ↮ᨆẂӮᆚ Ѓ⹂ⴲẂὢ⡚Ѻ૮ాఆӎὶ. ẞᆚࢆཪல
2014ल2Ể 2␖ᶾࣶ؞؞ᓦҲᶾᤊᶾࣶ↮ᨆẂӮᆚ ῲ⹆ἲኗⱊᅪᤒ ⵊᐂὶἪὢᅪⵆ؞Ỳⵢϯ`Ἢ၊० ဓⵆӎὶ.
ⵆ↮ᆺᵿⵊ ▂↲ᶾலᕶ՚ⵆӎӮဖ ᶾ૮ⵊ⮷ϮϮ
૮၊ὢზᶢ↮↮ᴸӎὶἪᶾࣶ↮ῶᵫᏽ⺖ Ӫᶾ૮ ⵊ ᓢᏽ⦣Ҳᨆ↿லᏦ⽏ⵊ ὢ. Ӫўᶾ ᕮⴲẂᶾ
ⵢᤊ ᢞᐊ`Ἢ၊ ᶾࣶ↮ῶᵫ ὢࢆ Ⳳ၊צྖᶾ ૮ⵊ ⺖Ӫᕲᤋὢ
᫊லఆᶶἪࢆ, ᶾࣶ↮ᨆẂӮᆚ ὢ՛Ϯῲ⒢ᶾᏦ♆ંᷯⶓӪ
ЇἮⵗ`ὦ⺖Ӫᕲᤋὢࢆ⮷Ϯંὢზᶢ↮↮ኩ.
ᶾࣶ↮⦣Ҳᅪᨆ↿ᏽϮӣⵆᷚ ᕮᶾࣶ↮Ҳἲᨆᆫⵆં
ᵿⵊᶾࣶ↮⦣ҲᨆẂᅪ▗ ⵆ؞Ỳⵢẞᆚࢆཪંᶾࣶ↮⦣Ҳⵗ ᓢ᫊᪒⥊(KESIS)ἲ՚▃ⵆӎὶ. ⵆ↮ᆺὢંӣ⦣Ҳ၊᭖ᶾࣶ
↮ῶᵫὢࢆᶾࣶ↮ᨆẂӮᆚᕲᤋᶾં`ⵗⵆ↮ᴸ. ⵊᤋἎࢆϮ ᪒ӪЇἮᶾࣶ↮Ếᒲὢࢆᶾࣶ↮ᕮጦᒲὢ⤞ἮӮဖ؞Ӯ
ᶾᢞᐊ`Ἢ၊ᾚⵆӎὶ؞ഺጦᶾ؞⓶ὢ⤞Ἆጢ⫺ᴳல
ᩫ↮லᴸӎⵊᨆ↿ἮୂẟᶢဒẢⷲὢ. ഞཪᤊⶓ⺲ẞᆚࢆ
ཪᶾࣶ↮ ᕲᤋὢࢆ⒢Ҳ`ὦ⮷ϮᅪỲⵊᶾࣶ↮ᨆẂӮᆚ
ὢ⤞ᒎὢ᪒՚▃ὢᐆೊ᫊ⴲẂⵆ.
ὢ࿚ⵊᐞҫⵆᶾᤊᓦᷞ՚ંẞᆚࢆཪᶾࣶ↮ῶᵫᏽ⺖ⶓ
⮷ϮᅪỲⵊ؞⓶ὢ⤞ᒎὢ᪒ⷲ⹗ᏽӮဖⵢṦᢚီᕲᤋ ἲ⦣ⵢᶾࣶ↮ῶᵫ؞⓶ὢ⤞ᒎὢ᪒՚▃ᐗⶓἲ ᫊ⵆ؞Ỳⵊ
Ӫ ၊؞ఆᶶ. ᓦᷞ՚ં3ЊलᶾѦⒾ↲ఆᶢḖӪ ၊ᤊ, ᢞᶳ, ᨆᦏ, Ϯ ᶳ, ӣӣϯᕮጦᒲ၊Ẃ՚ⵆંὢ⤞Ϯὢⵆ Ꭾ၊ᕮጦᒲ၊DB ՚▃ᐗᴶ ᫊ⵆંתᐗ᫋ἲഞཾ. ὢᶾഞཪ
↮ࢊ1␖लலંϮ ᶳᕮጦצᆚӎ2␖लலંᢞᶳ ᨆᦏᕮጦ
ᶾࣶ↮ῶᵫ؞⓶ὢ⤞ᒎὢ᪒՚▃ᐗᴶἲ ᫊ⵆᷮἪ, 3ल␖ὦ
लἮӣӣ ӣ⦣ᕮጦᶾࣶ↮ῶᵫDB ՚▃ᐗᴶἲ ᫊ⵆ؞၊ⵊ.
ӣӣᕮጦ૮ⱊ`ὦ ᨆἲᢢ⮢ᓢቢ⡚Ѻӣӣ؞Ӯᶾࣶ↮ὢẗⵗ ᆚ⹂▂↲᫊Ӫ↮ᷛᶾࣶ↮ᢚᶳὢὶ. ૮ⱊ`ὦ⃪Ẃ Ἢ၊ંӣӣ
؞ӮѢጪ⺖Њᤎᢚᶳ, Ѣጪᶾࣶ↮⺖ ல, ESCOᢚᶳ, ӎ⺖ᶾࣶ
↮؞ᾚ, ↮ᷛᶾࣶ↮᫊ᤒᓢ⁞ᏽ؞ᐆ՚▃ᢚᶳὢὶ. ӣ⦣ᕮጦ
૮ⱊ`ὦ Ἢ၊ંᶾࣶ↮ῶᵫ⸻ᓢ, ⚎⮆ὦ, ே؞ᐆᶾࣶ↮ῶᵫⳲ၊
צྖ1), ᶾࣶ↮ῶᵫԾἏ, ᶾࣶ↮Ϯҗᏽ؞ᨎЊᐊ(R&D) ἲ⯚ⵖⵊ.
ӣӣᕮጦҫẞ૮ᕮᕲ᫊ὢѢጪ⺖Њᤎં؞؞⺖ЊᤎὢᎮ၊
ᷚ؞ᤊં⃪၊ӣӣѢ▃ጪἲ૮Ἢ၊ⵊDB ՚▃ᐗᴶᶾ⓶῾ἲᇌ▂
ᶶ. ᶾࣶ↮ῶᵫ⸻ᓢ, ⚎⮆ὦӪЇἮӣ⦣ᕮጦ ҫẞ⒢Ҳ`ὦ
M&V ᐗᒃ၎ὢ ᆫఆᶢὶ↮ᴸἮӮҲ၊՚⒢`ὦDB ՚▃ᐗᴶἲ
᫊ⵆ؞ᶾᶢဒẮὢὶᶢῲ⒢`ὦᐗⶓᶾ૮ⵢᤊᆺϲྣ⽶ზᶶ. ᆺᶾࣶ↮ԾἏὢࢆ؞ᨎЊᐊ(R&D) லἮ؞ϲᶾᶾࣶ↮ῶϾ⺖Ӫᅪ
1) ᶾࣶ↮ೊᐟⳲ၊צྖὢཪӎலᕶᆚᶾࣶ↮ᘲḮӮဖఊᵿⵊ ᓢᅪ
ೊᐟⵢἪ၊᭖ᶾࣶ↮ῶᵫ⒊ἲἎலⵆં Ⳳ၊צྖὢ.
ཪᶾࣶ↮ ᕲᤋὢࢆ⒢Ҳ`ὦ⮷ϮᅪỲⵊᶾࣶ↮ᨆẂӮᆚ
ὢ⤞ᒎὢ᪒՚▃ὢᐆೊ᫊ⴲẂⵆ.
ὢ࿚ⵊᐞҫⵆᶾᤊᓦᷞ՚ંẞᆚࢆཪᶾࣶ↮ῶᵫᏽ⺖ⶓ
⮷ϮᅪỲⵊ؞⓶ὢ⤞ᒎὢ᪒ⷲ⹗ᏽӮဖⵢṦᢚီᕲᤋ ἲ⦣ⵢᶾࣶ↮ῶᵫ؞⓶ὢ⤞ᒎὢ᪒՚▃ᐗⶓἲ ᫊ⵆ؞Ỳⵊ
Ӫ ၊؞ఆᶶ. ᓦᷞ՚ં3ЊलᶾѦⒾ↲ఆᶢḖӪ ၊ᤊ, ᢞᶳ, ᨆᦏ, Ϯ ᶳ, ӣӣϯᕮጦᒲ၊Ẃ՚ⵆંὢ⤞Ϯὢⵆ Ꭾ၊ᕮጦᒲ၊DB ՚▃ᐗᴶ ᫊ⵆંתᐗ᫋ἲഞཾ. ὢᶾഞཪ
↮ࢊ1␖लலંϮ ᶳᕮጦצᆚӎ2␖लலંᢞᶳ ᨆᦏᕮጦ
ᶾࣶ↮ῶᵫ؞⓶ὢ⤞ᒎὢ᪒՚▃ᐗᴶἲ ᫊ⵆᷮἪ, 3ल␖ὦ
लἮӣӣ ӣ⦣ᕮጦᶾࣶ↮ῶᵫDB ՚▃ᐗᴶἲ ᫊ⵆ؞၊ⵊ.
ӣӣᕮጦ૮ⱊ`ὦ ᨆἲᢢ⮢ᓢቢ⡚Ѻӣӣ؞Ӯᶾࣶ↮ὢẗⵗ ᆚ⹂▂↲᫊Ӫ↮ᷛᶾࣶ↮ᢚᶳὢὶ. ૮ⱊ`ὦ⃪Ẃ Ἢ၊ંӣӣ
؞ӮѢጪ⺖Њᤎᢚᶳ, Ѣጪᶾࣶ↮⺖ ல, ESCOᢚᶳ, ӎ⺖ᶾࣶ
↮؞ᾚ, ↮ᷛᶾࣶ↮᫊ᤒᓢ⁞ᏽ؞ᐆ՚▃ᢚᶳὢὶ. ӣ⦣ᕮጦ
૮ⱊ`ὦ Ἢ၊ંᶾࣶ↮ῶᵫ⸻ᓢ, ⚎⮆ὦ, ே؞ᐆᶾࣶ↮ῶᵫⳲ၊
צྖ1), ᶾࣶ↮ῶᵫԾἏ, ᶾࣶ↮Ϯҗᏽ؞ᨎЊᐊ(R&D) ἲ⯚ⵖⵊ.
ӣӣᕮጦҫẞ૮ᕮᕲ᫊ὢѢጪ⺖Њᤎં؞؞⺖ЊᤎὢᎮ၊
ᷚ؞ᤊં⃪၊ӣӣѢ▃ጪἲ૮Ἢ၊ⵊDB ՚▃ᐗᴶᶾ⓶῾ἲᇌ▂
ᶶ. ᶾࣶ↮ῶᵫ⸻ᓢ, ⚎⮆ὦӪЇἮӣ⦣ᕮጦ ҫẞ⒢Ҳ`ὦ
M&V ᐗᒃ၎ὢ ᆫఆᶢὶ↮ᴸἮӮҲ၊՚⒢`ὦDB ՚▃ᐗᴶἲ
᫊ⵆ؞ᶾᶢဒẮὢὶᶢῲ⒢`ὦᐗⶓᶾ૮ⵢᤊᆺϲྣ⽶ზᶶ. ᆺᶾࣶ↮ԾἏὢࢆ؞ᨎЊᐊ(R&D) லἮ؞ϲᶾᶾࣶ↮ῶϾ⺖Ӫᅪ
1) ᶾࣶ↮ೊᐟⳲ၊צྖὢཪӎலᕶᆚᶾࣶ↮ᘲḮӮဖఊᵿⵊ ᓢᅪ
ೊᐟⵢἪ၊᭖ᶾࣶ↮ῶᵫ⒊ἲἎலⵆં Ⳳ၊צྖὢ.
ўా؞ỲⵢᤒҲఆ↮ᴲશᎮ၊ᓦᷞ՚ᶾᤊზ↮ᴸᵆ.
ᓦᷞ՚՚ἮἺӪЇ. ሪ΅ 2ᾓᶾᤊં՛ࢢṦӣӣ ӣ⦣
ᕮጦᶾࣶ↮ῶᵫDB ⷲ⹗ἲᕲᤋⵆᷮ. 3ᾓᶾᤊં՛ ΅ታⵇᨎ
↮ὦᶾࣶ↮΅ࣾᶾᨆ။ఊӣӣ ӣ⦣ᕮጦᶾࣶ↮⺖ӪӮဖఊᐗ ૮ⵊጦⶺἲ૮Ἢ၊ ⺖Ӫᕲᤋ؞ᒃᏽ⨚έႺἎ⸃ἲѮ
⦎ⵆᷚ՛ࢢᶾࣶ↮ῶᵫDB ՚▃ἲỲⵊ᫊ᢚ῾ἲல▊ⵊ. 4ᾓᶾ ᤊંᏦ՛⚆ᆚ⯚શᴲ⮷Ϯ⒢ҲᅪѮ⦎ⵊ⺲ӣӣ ӣ⦣ᕮጦ՛ࢢ
ᶾࣶ↮ῶᵫὢ⤞ᒎὢ᪒՚▃ᐗᴶἲ ᫊ⵊ. ࡋἪ၊ 5ᾓᶾᤊ
ંᵌᤎ४ᅪẂᵫ ᆚⵆӎᓢӎᤊᅪࡋᇨ؞၊ⵊ.
ᓦᷞ՚ંӣӣ ӣ⦣ᕮጦ ⺖ӪᕲᤋἲỲⵊ؞⓶ὢ⤞ᒎὢ ᪒ḮӮဖఊ՛ࢢṦⷲ⹗Ӫ՛ࢢDB ՚▃ᐗⶓᶾ૮ⵢᢢ⮢ᓢᵆ.
ẞᆚࢆཪᶾᘲⵢ૮`Ἢ၊ᵿ⸦ⵊᨆẂӮᆚὢ⤞ᅪ՚▃ⵆӎὶં
ⵢṦ⃪Ẃᤎ↲՛ҫẞӣӣѢ▃ጪἲ૮Ἢ၊᫊ఆં⺖Њᤎ
Ⳳ၊צྖᒲ၊⒢Ҳ`ὦὢ⤞ᒎὢ᪒ᅪ՚▃ Ảᷯⵆӎὶᶶ. ӣ⦣ᕮ ጦҫẞὪᕮⳲ၊צྖᶾӮⵊὢ⤞՚▃ᢚီᅪἲᨆὶᶶἪ
ࢆ, ῲᐆ`ὦᨆẂӮᆚM&V ⒢Ҳᏽὢ⤞ᒎὢ᪒Ϯᾆ՚▃ఊ⃪Ẃ
ᤎ↲՛ҫẞலM&V ᐗᒃ၎ᏽὢ⤞ᒎὢ᪒Ϯ ૮၊ ᆫఆ↮ં
ᴸἮѱἪ၊⮷Ϯఊ. ὢંӣ⦣ᕮጦ Ⳳ၊צྖЋӮ
`ὦM&V ᐗᒃ၎ ᆫὢẗὢⵆ↮ᴸ؞ഺጦὦѱἪ၊Ɱὢఊ.
ẞᆚࢆཪ ҫẞ ӣӣ ӣ⦣ᕮጦᶾ ૮ⵊ ᨆẂӮᆚ ὢ⤞ᒎὢ᪒ં
ўῲጢⵊѱἪ၊ࢆ⢮࢚. ૮၊ఊᨆẂӮᆚὢ⤞ᅪ՚▃ⵆ؞
ẗὢⵆ↮ᴸἮӣ⦣ᕮጦἮ४Ṧ၊♆ୂཪலӣӣᕮጦᶾ૮ⵊ ᐆ
ὢ⤞ⵊᇒẞᏦ⽏ⵊ⹗ὢཪંᢚἮᇒẞϯⵊጦ ὢ. ᢚ
ὢંѢጪ, ᢞᶳ, ᨆᦏᕮጦᶾ૮ⵊ↮ࢊ1, 2ल␖ᷞ՚ᶾᤊᶢ
ல᷶Қఆᶶѱὢ؞லⵆ.
ὢ⒆ẞᆚࢆཪᨆẂӮᆚὢ⤞ᒎὢ᪒⒢ҲϮ ૮၊՚▃ఆ↮
ኩⵊὢἎⵆࢆં╊ᘲᶾࣶ↮ᘲᶾӮⵊ ᓢᣋᢞ
Ϯᶾࣶ↮ӣἪ၊ఆᶢὶંѱὢὪ␖`ὦẾὦὢ. ᶾࣶ↮ᨆᴶ ὢ ὪϮ♆၊ᷚҖ…Ṃ⹆ҫᶾᤊῲᐆ`ὦ
ᶾࣶ↮᫊᪒⥊ὢӣἪ၊⸃ఎᨆᐄᶾᶴᶶӎצᶾഞཪᶾ
ࣶ↮⦣Ҳⵊ╊ᘲϮᴲӣӮ῾ᶾᤊ՚▃ఎᨆᐄᶾ ᶴᶶ. ὢḮୂᕶᶢẂⵊẂὦἮẞᆚࢆཪᶾࣶ↮ᨆẂӮᆚ ᶾ૮ⵊӪ☏ , Ѯ↋ᏽ⮷Ϯ⒢ҲϮᏦ⽏ⵆંᤊἲᨆὶ
. ☏ , Ѯ↋ᏽ⮷Ϯ⒢ҲϮ ૮၊⹃ᆫఆ↮ኩⵖᶾഞཪ ૮၊
ఊᨆẂӮᆚὢ⤞ᒎὢ᪒Ϯ՚▃ఆ↮ኩӎὢં᫊ᕮⵊ
⮷Ϯ၊ὢᶢ↮ંᴳᨊ⹆ὢўఆં⹗ὢᷞ▊ఆӎὶંѱὢ. ὢᶾᓦᷞ՚ᶾᤊં՛ࢢⷲ⹗ᶾ૮ⵊ⁞ᢚḮୂᕶᶢⵢṦ΅ታⵇ ᨎ↮ᅪ૮Ἢ၊ⵊቂ⢮ᕲᤋἲ⦣ⵢ՛ࢢᨆẂӮᆚὢ⤞ᶾᤊᓢḲ ⵢᵪⵎᕮᕲἮጢᶵὦ↮ᢢ⮢ᓢᵆ. ᕲᤋҞӪ⺖؞ᨎᶾӮⵊ
ὢ⤞Ḯᕮጦᒲ⬖ࣾὢ⤞՚▃ὢⴲẂⵊѱἪ၊ࢆ⢮࢚. ⵊᓦ
ᷞ՚ᶾᤊંᏦ⚆ᆚ⯚શᴲᨆẂӮᆚ ⮷Ϯ⒢Ҳᶾ૮ⵊᕲᤋἲ
⦣ⵢЊᒲ Ⳳ၊צྖ⮷ϮᅪỲⵊⶓ᫋ᨆẂӮᆚ ⮷Ϯ
ὢ⤞ᒎὢ᪒՚▃ᐗⶓἲ ᫊ⵆᷮ.
ᨆẂӮᆚὢ⤞ᒎὢ᪒ં؞ᓦ`Ἢ၊ЊᒲⳲ၊צྖὢᶾഞᅦᢚ
`צᆚӎᢚ`ᷯⶓἲᢚῲ ᢚ⺲`Ἢ၊⮷Ϯⵎᨆὶல။↮Ếⵆં
צኗ`ὢὶ. ഞཪᤊӣӣ ӣ⦣ᕮጦᨆẂӮᆚὢ⤞ᒎὢ᪒ંצ࿚
ⵊኗ`ᶾ▗ⵆѺ؞ઓⵎᨆὶல။ᤒҲఆᶢᵪⵊ. ὢᅪỲⵢᤊં⺖
ὢ⤞ⵊᇒẞᏦ⽏ⵊ⹗ὢཪંᢚἮᇒẞϯⵊጦ ὢ. ᢚ
ὢંѢጪ, ᢞᶳ, ᨆᦏᕮጦᶾ૮ⵊ↮ࢊ1, 2ल␖ᷞ՚ᶾᤊᶢ
ல᷶Қఆᶶѱὢ؞லⵆ.
ὢ⒆ẞᆚࢆཪᨆẂӮᆚὢ⤞ᒎὢ᪒⒢ҲϮ ૮၊՚▃ఆ↮
ኩⵊὢἎⵆࢆં╊ᘲᶾࣶ↮ᘲᶾӮⵊ ᓢᣋᢞ
Ϯᶾࣶ↮ӣἪ၊ఆᶢὶંѱὢὪ␖`ὦẾὦὢ. ᶾࣶ↮ᨆᴶ ὢ ὪϮ♆၊ᷚҖ…Ṃ⹆ҫᶾᤊῲᐆ`ὦ
ᶾࣶ↮᫊᪒⥊ὢӣἪ၊⸃ఎᨆᐄᶾᶴᶶӎצᶾഞཪᶾ
ࣶ↮⦣Ҳⵊ╊ᘲϮᴲӣӮ῾ᶾᤊ՚▃ఎᨆᐄᶾ ᶴᶶ. ὢḮୂᕶᶢẂⵊẂὦἮẞᆚࢆཪᶾࣶ↮ᨆẂӮᆚ ᶾ૮ⵊӪ☏ , Ѯ↋ᏽ⮷Ϯ⒢ҲϮᏦ⽏ⵆંᤊἲᨆὶ
. ☏ , Ѯ↋ᏽ⮷Ϯ⒢ҲϮ ૮၊⹃ᆫఆ↮ኩⵖᶾഞཪ ૮၊
ఊᨆẂӮᆚὢ⤞ᒎὢ᪒Ϯ՚▃ఆ↮ኩӎὢં᫊ᕮⵊ
⮷Ϯ၊ὢᶢ↮ંᴳᨊ⹆ὢўఆં⹗ὢᷞ▊ఆӎὶંѱὢ. ὢᶾᓦᷞ՚ᶾᤊં՛ࢢⷲ⹗ᶾ૮ⵊ⁞ᢚḮୂᕶᶢⵢṦ΅ታⵇ ᨎ↮ᅪ૮Ἢ၊ⵊቂ⢮ᕲᤋἲ⦣ⵢ՛ࢢᨆẂӮᆚὢ⤞ᶾᤊᓢḲ ⵢᵪⵎᕮᕲἮጢᶵὦ↮ᢢ⮢ᓢᵆ. ᕲᤋҞӪ⺖؞ᨎᶾӮⵊ
ὢ⤞Ḯᕮጦᒲ⬖ࣾὢ⤞՚▃ὢⴲẂⵊѱἪ၊ࢆ⢮࢚. ⵊᓦ
ᷞ՚ᶾᤊંᏦ⚆ᆚ⯚શᴲᨆẂӮᆚ ⮷Ϯ⒢Ҳᶾ૮ⵊᕲᤋἲ
⦣ⵢЊᒲ Ⳳ၊צྖ⮷ϮᅪỲⵊⶓ᫋ᨆẂӮᆚ ⮷Ϯ
ὢ⤞ᒎὢ᪒՚▃ᐗⶓἲ ᫊ⵆᷮ.
ᨆẂӮᆚὢ⤞ᒎὢ᪒ં؞ᓦ`Ἢ၊ЊᒲⳲ၊צྖὢᶾഞᅦᢚ
`צᆚӎᢚ`ᷯⶓἲᢚῲ ᢚ⺲`Ἢ၊⮷Ϯⵎᨆὶல။↮Ếⵆં
צኗ`ὢὶ. ഞཪᤊӣӣ ӣ⦣ᕮጦᨆẂӮᆚὢ⤞ᒎὢ᪒ંצ࿚
ⵊኗ`ᶾ▗ⵆѺ؞ઓⵎᨆὶல။ᤒҲఆᶢᵪⵊ. ὢᅪỲⵢᤊં⺖
؞ᨎDBᅪ՚▃ⵆᷚЊᒲⳲ၊צྖ؞ᨎ`ῶϾᾎᾚྷἲ⫺ᴳⵎᨆ
ὶல။ⵢᵪⵊ. ⵊⳲ၊צྖὢἪ၊ὦⵢᐊᣋⵆંᢚ`ᘲẗ Ӫ⮦ὣἲ⮷Ϯⵎᨆὶல။ⵆંҫ ⮷ϮDB ՚▃ὢಒഞཪᵪⵊ.
צᆚӎЊᒲⳲ၊צྖὢӪ ἲ▂`ⵆӎצҞӪᅪ☏ ⵆᢚ⺲
`Ἢ၊ӪᅪѮ↋ⵆંⳲ၊צྖᒲM&V DBϮⵖۆ՚▃ఆᶢᵪⵊ.
ࡋἪ၊ЊᒲⳲ၊צྖὢὢῲ⒢᫊ᾓᶾᏦ♆ંᷯⶓἲ⮷Ϯⵎᨆὶ
ં᫊ᾓ⮷ϮDBᅪ՚▃ⵎⴲẂϮὶἪצ࿚ⵊ᫊ᾓ⮷ϮDBᶾᤊᕮጦ ᒲ╊ᘲᶾ૮ⵊ⬖ࣾႺᅪ⯚ⵖⵆல။ᤒҲⵆંѱὢᐂེ↯ⵆ. ᢚᨆẂӮᆚὢ⤞ᒎὢ᪒ંᷯⶓ⮷Ϯ, Ӫ☏ ᏽᢚ⺲Ѯ
↋, ᫊ᾓ⮷ϮἪ၊ὢᶢ↮ંᾆ⹃ᆫఊ⮷Ϯ⒢ҲᅪתϲἪ၊ⵊ.
ᨆẂӮᆚὢ⤞ᒎὢ᪒Ϯᾆ՚▃ఊ⃪Ẃᤎ↲՛ӣ⦣῾ἮᨆẂ ӮᆚⳲ၊צྖᒲ☏ , Ѯ↋ᏽ⮷ϮϮᾆὢზᶢ↮ӎὶંѱὢ.
ⵆ↮ᆺẞᆚࢆཪ૮ᕮᕲᶾࣶ↮ᨆẂӮᆚⳲ၊צྖἮⵢ૧ᢚᶳ
ᨆᏽ ኗⱊᷚᕮḮᘲẗ૮ᘲ⮦ὣὢᶪᆶὦ↮⁞␖
૮၊⫺ᴳⵆ↮ኩⵆӎὶં ὢ. צὢቢᶾંЋӮ`ὢӎ⨚ታⵊ
M&V ᐗᒃ၎, M&V Ⳳ၊ᤦ᪒ᏽўᑲࣺ᪒⒢ҲϮ ૮၊ ᆫఆᶢ
ὶ↮ኩⵊѱὢ⃪ẂⵊὢἎὢ. ഞཪᤊᨆẂӮᆚὢ⤞ᒎὢ᪒ᅪᾆ
ᤒҲⵆ؞ὢῲᶾῲᐆ`ὦᨆẂӮᆚ⮷Ϯ᫊᪒⥊՚⁞ᶾӮⵊᷞ՚
Ϯ᫊ⵆ. ὢંᵿⵊᕲᵪῲጦϮὢᾓ᫊ϲᶾѦⒾሦᆚᅪ
ᇌ૮ӎⱮᶢࢆϮᵪⵎᾓ؞Ӫ ὲᶾ⪮ᆪὢᶴἪὢᶾ૮ⵊᷞ՚ં
ⶓ⺲Ӫ ၊Җా؞၊ⵊ.
There have been impressive Major economies abroad are preparing various measures responding to the climate change and high oil prices by using the energy demand management such as energy savings and improvement of energy efficiency.
Korea also set a goal of the enhancement of nearly 46 percent energy efficiency by 2030 compared with the BAU (business as usual) scenario, and has implemented various policies and programs to save energy and improve energy efficiency..
However, with regard to development and implementation of various policies, the corresponding measurement and assessments are not done properly. Therefore, development and implementation of systematic and effective policy portfolio face difficulties. In addition, the measurement and evaluation process of related policies have not been systematically done, thereby resulting in not ensuring the collection of information and statistics for the energy saving and efficiency policy.
Korean government has built KESIS for setting the national energy plan. But, KESIS is established based on the data of energy supply.
Therefore, it does not cover the information of database for analysis of energy demand management to improve energy efficiency and
saving. Data on energy by sources and sectoral energy data exist sporadically in different organizations. As a result, it is not easy to know whether there exist data or not, and moreover collecting those data became the more difficult work to be done in reality.
From now on, it is necessary that the Korean government build the basic database, which can be used for the analysis of the effect of various energy policies and programs on energy saving and efficiency.
Under this circumstance, this research provides the basic direction on how to build the database on energy efficiency after investigating the domestic and foreign database used to evaluate the energy saving and efficiency policies. This study has been ongoing over the past three years.
In this research, we suggest different database building methods depending different sectors such as industry, transport, residential/commercial, and public sectors. For the first and second years, we have discussed on how to build the database coving residential/commercial and industry/transport sectors, respectively. This paper, the last year’s paper in the series, suggests the way to build the database covering energy efficiency in the public sector.
If we observe the representative energy policies and programs of the public sector, there are by and large energy use rationalization policy for public agents and regional energy projects. Representative efficiency policies are public building retrofit project, energy efficiency rating system, ESCO projects in public buildings, high-efficiency building equipments, etc. For common policies across sectors, there are energy
saving. Data on energy by sources and sectoral energy data exist sporadically in different organizations. As a result, it is not easy to know whether there exist data or not, and moreover collecting those data became the more difficult work to be done in reality.
From now on, it is necessary that the Korean government build the basic database, which can be used for the analysis of the effect of various energy policies and programs on energy saving and efficiency.
Under this circumstance, this research provides the basic direction on how to build the database on energy efficiency after investigating the domestic and foreign database used to evaluate the energy saving and efficiency policies. This study has been ongoing over the past three years.
In this research, we suggest different database building methods depending different sectors such as industry, transport, residential/commercial, and public sectors. For the first and second years, we have discussed on how to build the database coving residential/commercial and industry/transport sectors, respectively. This paper, the last year’s paper in the series, suggests the way to build the database covering energy efficiency in the public sector.
If we observe the representative energy policies and programs of the public sector, there are by and large energy use rationalization policy for public agents and regional energy projects. Representative efficiency policies are public building retrofit project, energy efficiency rating system, ESCO projects in public buildings, high-efficiency building equipments, etc. For common policies across sectors, there are energy
saving promotion and campaign, energy saving education, energy price and R&D. In the public sector, most programs are related to enhancement of building energy use efficiency and equipment efficiency. Thus, this paper focuses on how to build energy efficiency database covering public buildings. In the case of energy saving promotion and campaign, we deal with overall direction of building the database because systematic M&V methodology has not been established yet. This paper is organized as follows. The next section analyzes the current situation of database related to common energy saving policies across sectors and those policies in the public sector. Chapter 3 derives the policy implication after reviewing policy effectiveness analysis techniques and types of input materials in ‘Energy Journal’, which is the renowned international energy journal. Chapter 4 provides the building method of the energy saving database after reviewing the energy efficiency evaluation system of the public sector in California, USA. Chapter 5 summarizes and concludes.
This study carefully reviewed the national and international status related to energy efficiency database, and investigated the domestic DB construction direction associated with the basic database for policy effectiveness analysis of public and common sectors. Foreign advanced countries have already built and are currently operating each individual systematic database by the energy efficiency improving program being implemented for public buildings. In the
case of common energy efficiency programs across sectors, we could find some relevant database. But in those countries, M&V methodology and related database have not been well constructed.
In Korea, demand management database for the public and common sectors appears to be almost nonexistent. Reality is that constructing the energy efficiency database in common sectors is not easy. However, it is a serious problem that the energy efficiency database about the public sector has not been well constructed yet.
One primary reason that energy demand management database in Korea has not been constructed yet is that data on final energy consumption are constructed based on the information provided by energy suppliers. This causes that the energy system in Korea has been inevitably formed centered around energy suppliers under the circumstance that energy security has been a primary value in energy issues. This circumstance naturally leads that energy statistics has been built by the perspective of energy suppliers. Along with this reality, another important reason is that measurement, verification and evaluation system about energy demand management policies are not sufficiently equipped. This causes the lack of database on the appropriate energy demand management. A vicious cycle, which leads to a poor evaluation policy, is being repeated.
This research discusses what should be amended and supplemented in domestic demand management data through the analysis of domestic status and the Meta analysis on the international renowned energy journal. The results show that construction of both data of
case of common energy efficiency programs across sectors, we could find some relevant database. But in those countries, M&V methodology and related database have not been well constructed.
In Korea, demand management database for the public and common sectors appears to be almost nonexistent. Reality is that constructing the energy efficiency database in common sectors is not easy. However, it is a serious problem that the energy efficiency database about the public sector has not been well constructed yet.
One primary reason that energy demand management database in Korea has not been constructed yet is that data on final energy consumption are constructed based on the information provided by energy suppliers. This causes that the energy system in Korea has been inevitably formed centered around energy suppliers under the circumstance that energy security has been a primary value in energy issues. This circumstance naturally leads that energy statistics has been built by the perspective of energy suppliers. Along with this reality, another important reason is that measurement, verification and evaluation system about energy demand management policies are not sufficiently equipped. This causes the lack of database on the appropriate energy demand management. A vicious cycle, which leads to a poor evaluation policy, is being repeated.
This research discusses what should be amended and supplemented in domestic demand management data through the analysis of domestic status and the Meta analysis on the international renowned energy journal. The results show that construction of both data of
energy efficiency technology and sectoral panel data turns out to be necessary. This paper also suggests the database setting direction about the evaluation of bottom-up energy demand management policy for evaluation of individual program with reference to the analysis of policy evaluation on California energy demand management.
The basic purpose of demand management database is to enable the effect of individual energy efficiency program to be evaluated before and after its implementation. Thus, energy demand management database in public sector and common parts across sectors are required to be designed for achieving the basic purpose. In doing so, we should construct the database on energy efficiency technology and use it to grasp the technical energy saving potential of the individual program. Subsequently, building database to evaluate social costs and benefits should be followed. M&V database by program, which tracks the implementation process of the individual program and measures the results, should be established as well. For the final step, we need to build the market evaluation database to evaluate the impact of the implementation of individual program on whole markets. It is appropriate for market evaluation database to include the panel data of final consumers by sector.
In facts, demand management database are based on well-established evaluation system that have a cycle composed of assessment of influencing power, measurement of achievement and verification after the implementation, and market evaluation. The common denominator in advanced countries that have well-established demand management
database is that measurement, verification, and evaluation are well conducted. On the other hand, the energy demand management programs in Korea do not catch the following facts: 1) implementation of energy saving projects, 2) achievement of initial policy purpose, and 3) benefits compared to costs. This is because objective and transparent M&V methodology and process and governance system are not well established. In order to design the energy demand management system well, we urgently need to study on structure of overall evaluation system of energy demand management. It is a long-term project that energy experts in various fields will take serious considerations. Thus, this issue may be a topic for future research.
database is that measurement, verification, and evaluation are well conducted. On the other hand, the energy demand management programs in Korea do not catch the following facts: 1) implementation of energy saving projects, 2) achievement of initial policy purpose, and 3) benefits compared to costs. This is because objective and transparent M&V methodology and process and governance system are not well established. In order to design the energy demand management system well, we urgently need to study on structure of overall evaluation system of energy demand management. It is a long-term project that energy experts in various fields will take serious considerations. Thus, this issue may be a topic for future research.
1ῶⵢṦӣӣ ӣ⦣ᕮጦᶾࣶ↮ᨆẂӮᆚ ⷲ⹗ ··· 5
1. Ꮶ՛ ··· 8
2. EU(Ἆᷞⵗ) ··· 17
2ῶ՛ࢢӣӣ ӣ⦣ᕮጦᶾࣶ↮ῶᵫ DB ՚▃ⷲ⹗ᕲᤋ ···· 24
1. ՛ࢢⷲ⹗ ··· 24
2. ՛ࢢὢ⤞ᒎὢ᪒(DB) ՚▃ⷲ⹗ᏽ᫊ᢚ῾ ··· 27
3. ՛ࢢᢚီ: ேⵆῶ؞ῲဓᨆ૮⺖Ӫᕲᤋ ··· 33
1ῶᶾࣶ↮΅ࣾ४ጦᕲᤋ ··· 371. ᕲᤋ૮ᶾࣶ↮ῶᵫ⃪ ··· 37
2. ᕲᤋᐗᒃ ··· 38
3. ὢẗႺ ··· 39
4. ⃪ẂҞӪ ··· 45
2ῶ՛ࢢᶾࣶ↮ῶᵫ ᕲᤋDB ՚▃ᐗⶓ ··· 66
1. ᶾࣶ↮ῶᵫὢ⤞ᒎὢ᪒՚▃ᶾ૮ⵊ᫊ᢚ῾ ··· 66
2. ὢ⤞ᒎὢ᪒՚▃ᐗⶓ ··· 67
1ῶᨆẂӮᆚ⮷Ϯ⒢ҲⴲẂ ··· 69
2ῶ⚆ᆚ⯚શᴲ⮷Ϯ↮♖ ··· 70
1. ⮷Ϯ↮♖(California Energy Efficiency Evaluation Protocols; CEEEP) ЊẂ ··· 70
3ῶ՛ࢢӣӣ ӣ⦣ᕮጦᶾࣶ↮ῶᵫ DB ՚▃ᐗⶓ ··· 85
1. ؞ᨎ`ᾎᾚྷ⮷ϮDB՚▃ ··· 86
2. ҫ ⮷ϮDB՚▃ ··· 91
3. Ⳳ၊צྖᒲM&V DB՚▃ ··· 97
4. ᫊ᾓ⮷ϮDB(ӣ⦣ᕮጦDB ⯚ⵖ)՚▃ ··· 99
1ῶῲဓ↮ᷛὪẂ ᏽ↮ᷛ␖ᒲẂ ᶾഞᅦ ẗலᒲῲဓᢚẗྷᘲԾᕲᤋ··· 1192ῶᶾࣶ↮ῶᵫ Ӯဖᕲᤋᐗᒃ ··· 155
1ῶᨆẂӮᆚ⮷Ϯ⒢ҲⴲẂ ··· 69
2ῶ⚆ᆚ⯚શᴲ⮷Ϯ↮♖ ··· 70
1. ⮷Ϯ↮♖(California Energy Efficiency Evaluation Protocols; CEEEP) ЊẂ ··· 70
3ῶ՛ࢢӣӣ ӣ⦣ᕮጦᶾࣶ↮ῶᵫ DB ՚▃ᐗⶓ ··· 85
1. ؞ᨎ`ᾎᾚྷ⮷ϮDB՚▃ ··· 86
2. ҫ ⮷ϮDB՚▃ ··· 91
3. Ⳳ၊צྖᒲM&V DB՚▃ ··· 97
4. ᫊ᾓ⮷ϮDB(ӣ⦣ᕮጦDB ⯚ⵖ)՚▃ ··· 99
1ῶῲဓ↮ᷛὪẂ ᏽ↮ᷛ␖ᒲẂ ᶾഞᅦ ẗலᒲῲဓᢚẗྷᘲԾᕲᤋ··· 1192ῶᶾࣶ↮ῶᵫ Ӯဖᕲᤋᐗᒃ ··· 155
<ⱊ2-1> ⵢṦӣӣѢጪᶾࣶ↮ (1) ··· 6
<ⱊ2-2> ⵢṦѢጪᶾࣶ↮ (2) ··· 7
<ⱊ2-3> ῶᵫ⚎⮆ὦⳲ၊צྖЊẂ ··· 9
<ⱊ2-4> ኖશ⤞ᆯἲỲⵊ⸶⮆ὢ↮ᕲᤋ ··· 12
<ⱊ2-5> ⹆ᢞҲᨆ ··· 13
<ⱊ2-6> ῲ՚૧Ḯ⪦Ѐ ··· 14
<ⱊ2-7> ϲ⺖Ӫᕲᤋᶾὢẗఊὢ⤞ ··· 16
<ⱊ2-8> ODYSSEEӣӣᕮጦᶾᤊᨆ↿ఆંὢ⤞ ··· 19
<ⱊ2-9> A-⚎⮆ὦҞӪ ··· 23
<ⱊ2-10> ӣӣ ӣ⦣ᕮጦᶾࣶ↮ὢẗⵗᆚ⹂▂↲ ᨆኗ။ ··· 26
<ⱊ2-11> ՛ࢢᶾࣶ↮ῶᵫ᫊ᏽὢ⤞ ··· 27
<ⱊ2-12> ⵆῶ؞؞Ḗᒮ⹂ᶾ૮ⵊῲဓᘲ⢲♆ ··· 35
<ⱊ2-13> 2013लⵆῶ؞(2013.6~8) ῶῲ`ᕲᤋҞӪ ··· 36
<ⱊ3-1> ў᫊`ὢẗႺ ··· 39
<ⱊ3-2> Ꮶ᫊`ὢẗႺ ··· 41
<ⱊ3-3> ᶾࣶ↮ῶᵫ ᷞ՚४ጦ⃪ , ᐗᒃ၎, ὢẗႺᏽ ⃪ẂҞӪ( ᕲᵪ) ··· 46
<ⱊ3-4> ᶾࣶ↮ῶᵫ ᷞ՚४ጦ⃪ , ᐗᒃ၎, ὢẗႺᏽ ⃪ẂҞӪ(↮Ế லᕲᵪ) ··· 53
<ⱊ3-5> ᶾࣶ↮ῶᵫ ᷞ՚४ጦ⃪ , ᐗᒃ၎, ὢẗႺᏽ ⃪ẂҞӪ(؞ᨎᏽ؞⓶ᷞ՚ᕲᵪ) ··· 55
<ⱊ3-6> ᶾࣶ↮ῶᵫ ᷞ՚४ጦ⃪ , ᐗᒃ၎, ὢẗႺᏽ ⃪ẂҞӪ( Ꮷ᪒ᕲᤋᕲᵪ) ··· 63
<ⱊ4-1> ↯ᷯⶓ⮷ϮḮϲᷯⶓ⮷Ϯᐗᒃ ··· 74
<ⱊ4-2> IPMVP ḣ᥆⪧⇃, Ҳᢞᐗᒃ, `ẗᕲᵪ ··· 76
<ⱊ4-3> ᶾࣶ↮ῶϾ؞ᨎᒲIPMVP ḣ᥆↮ ··· 77
<ⱊ4-4> M&Vᫎ႞லᶾഞᅦᐗᒃᏽẂ՚ᢚⵛ ··· 78
<ⱊ4-5> ETP ⮷Ϯᐗᒃ᷶ ··· 79
<ⱊ4-6> Ӫ ⮷ϮҲᢚᴶ ··· 81
<ⱊ4-7> ᫊ᾓ⺖Ӫᫎ႞லᶾഞᅦẂ՚ᢚⵛ ··· 83
<ⱊ4-8> ⱊᓦ, ᕶ⹃ⵛኗᒲ ᓢ ··· 84
<ⱊ4-1> ↯ᷯⶓ⮷ϮḮϲᷯⶓ⮷Ϯᐗᒃ ··· 74
<ⱊ4-2> IPMVP ḣ᥆⪧⇃, Ҳᢞᐗᒃ, `ẗᕲᵪ ··· 76
<ⱊ4-3> ᶾࣶ↮ῶϾ؞ᨎᒲIPMVP ḣ᥆↮ ··· 77
<ⱊ4-4> M&Vᫎ႞லᶾഞᅦᐗᒃᏽẂ՚ᢚⵛ ··· 78
<ⱊ4-5> ETP ⮷Ϯᐗᒃ᷶ ··· 79
<ⱊ4-6> Ӫ ⮷ϮҲᢚᴶ ··· 81
<ⱊ4-7> ᫊ᾓ⺖Ӫᫎ႞லᶾഞᅦẂ՚ᢚⵛ ··· 83
<ⱊ4-8> ⱊᓦ, ᕶ⹃ⵛኗᒲ ᓢ ··· 84
[צᆪ2-1] Flex Alert TV ӿӎ ··· 11 [צᆪ2-2] ⹊ே᫊῾ᶾഞᅦᶾᶢ⛖ᷯⶓὢӪ ᘲԾ ··· 17 [צᆪ2-3] The 쥊A쥋G campaign 1999 ⮷Ϯኗ။Ẃᵫ ··· 23 [צᆪ2-4] ՛ࢢᶾࣶ↮ῶᵫᒃ ல՚⁞ ··· 24 [צᆪ4-1] ↮♖ᢚὢ⸦ӮҲ ··· 71 [צᆪ4-2] ؞ᨎ`ᾎᾚྷDB՚⁞ ··· 90 [צᆪ4-3] ᘲẗ⮷ϮDB՚⁞ ··· 92 [צᆪ4-4] ᤒᘲᘲẗDB՚⁞ ··· 94 [צᆪ4-5] ᦏᐞῲᘲẗDB՚⁞ ··· 94 [צᆪ4-6] ᶾࣶ↮ᘲẗDB՚⁞ ··· 95 [צᆪ4-7] ҫ ⮷ϮDB՚⁞ ··· 97
ᴶ `ὦῲဓᨆᏽ؞⺲ᒮ⹂૮Ἷ૮ࢢṦ`ὦᷚѢᒮ⹂၊
ὦⵢᶾࣶ↮ῶᵫӪ⺖ⶓӪЇἮᶾࣶ↮ᨆẂӮᆚẂᏽᶾ
ࣶ↮ᨆẂӮᆚ Ѓ⹂ⴲẂὢ⡚Ѻ૮ాఆӎὶ. ẞᆚࢆཪல
2014ल2Ể 2␖ᶾࣶ؞؞ᓦҲᶾᤊᶾࣶ↮ᨆẂӮᆚ ῲ⹆ἲኗⱊᅪᤒ ⵊᐂὶἪὢᅪⵆ؞Ỳⵢϯ`Ἢ၊० ဓⵆӎὶ.
ⵆ↮ᆺᵿⵊ ▂↲ᶾலᕶ՚ⵆӎӮဖ ᶾ૮ⵊ⮷ϮϮ
૮၊ὢზᶢ↮↮ᴸӎὶἪᶾࣶ↮ῶᵫᏽ⺖ Ӫᶾ૮ ⵊ ᓢᏽ⦣Ҳᨆ↿லᏦ⽏ⵊ ὢ. Ӫўᶾ ᕮⴲẂᶾ
ⵢᤊ ᢞᐊ`Ἢ၊ ᶾࣶ↮ῶᵫ ὢࢆ Ⳳ၊צྖᶾ ૮ⵊ ⺖Ӫᕲᤋὢ
᫊லఆᶶἪࢆ, ᶾࣶ↮ᨆẂӮᆚ ὢ՛Ϯῲ⒢ᶾᏦ♆ંᷯⶓӪ
ЇἮⵗ`ὦ⺖Ӫᕲᤋὢࢆ⮷Ϯંὢზᶢ↮↮ኩ.
ᶾࣶ↮⦣Ҳᅪᨆ↿ᏽϮӣⵆᷚ ᕮᶾࣶ↮Ҳἲᨆᆫⵆં
ᵿⵊᶾࣶ↮⦣ҲᨆẂᅪ▗ ⵆ؞Ỳⵢẞᆚࢆཪંᶾࣶ↮⦣Ҳⵗ ᓢ᫊᪒⥊(KESIS)ἲ՚▃ⵆӎὶ. ⵆ↮ᆺὢંӣ⦣Ҳ၊᭖ᶾࣶ
↮ῶᵫὢࢆᶾࣶ↮ᨆẂӮᆚᕲᤋᶾં`ⵗⵆ↮ᴸ. ⵊᤋἎࢆϮ ᪒ӪЇἮᶾࣶ↮Ếᒲὢࢆᶾࣶ↮ᕮጦᒲὢ⤞ἮӮဖ؞Ӯ
ᶾᢞᐊ`Ἢ၊ᾚⵆӎὶ؞ഺጦᶾ؞⓶ὢ⤞Ἆጢ⫺ᴳல
ᩫ↮லᴸӎⵊᨆ↿ἮୂẟᶢဒẢⷲὢ. ഞཪᤊⶓ⺲ẞᆚࢆ
ཪᶾࣶ↮ ᕲᤋὢࢆ⒢Ҳ`ὦ⮷ϮᅪỲⵊᶾࣶ↮ᨆẂӮᆚ
ὢ⤞ᒎὢ᪒՚▃ὢᐆೊ᫊ⴲẂⵆ.
ὢ࿚ⵊᐞҫⵆᶾᤊᓦᷞ՚ંẞᆚࢆཪᶾࣶ↮ῶᵫᏽ⺖ⶓ
⮷ϮᅪỲⵊ؞⓶ὢ⤞ᒎὢ᪒ⷲ⹗ᏽӮဖⵢṦᢚီᕲᤋ ἲ⦣ⵢᶾࣶ↮ῶᵫ؞⓶ὢ⤞ᒎὢ᪒՚▃ᐗⶓἲ ᫊ⵆ؞Ỳⵊ
Ӫ ၊؞ఆᶶ. ᓦᷞ՚ં3ЊलᶾѦⒾ↲ఆᶢḖӪ ၊ᤊ, ᢞᶳ, ᨆᦏ, Ϯ ᶳ, ӣӣϯᕮጦᒲ၊Ẃ՚ⵆંὢ⤞Ϯὢⵆ Ꭾ၊ᕮጦᒲ၊DB ՚▃ᐗᴶ ᫊ⵆંתᐗ᫋ἲഞཾ. ὢᶾഞཪ
↮ࢊ1␖लலંϮ ᶳᕮጦצᆚӎ2␖लலંᢞᶳ ᨆᦏᕮጦ
ᶾࣶ↮ῶᵫ؞⓶ὢ⤞ᒎὢ᪒՚▃ᐗᴶἲ ᫊ⵆᷮἪ, 3ल␖ὦ
लἮӣӣ ӣ⦣ᕮጦᶾࣶ↮ῶᵫDB ՚▃ᐗᴶἲ ᫊ⵆ؞၊ⵊ.
ӣӣᕮጦ૮ⱊ`ὦ ᨆἲᢢ⮢ᓢቢ⡚Ѻӣӣ؞Ӯᶾࣶ↮ὢ ẗⵗᆚ⹂▂↲᫊Ӫ↮ᷛᶾࣶ↮ᢚᶳὢὶ. ૮ⱊ`ὦ⃪Ẃ Ἢ
၊ંӣӣ؞ӮѢጪ⺖Њᤎᢚᶳ, Ѣጪᶾࣶ↮⺖ ல, ESCOᢚ ᶳ, ӎ⺖ᶾࣶ↮؞ᾚ, ↮ᷛᶾࣶ↮᫊ᤒᓢ⁞ᏽ؞ᐆ՚▃ᢚᶳὢ
ὶ. ӣ⦣ᕮጦ૮ⱊ`ὦ Ἢ၊ંᶾࣶ↮ῶᵫ⸻ᓢ, ⚎⮆ὦ,
ே؞ᐆᶾࣶ↮ῶᵫⳲ၊צྖ1), ᶾࣶ↮ῶᵫԾἏ, ᶾࣶ↮Ϯҗᏽ؞ᨎ Њᐊ(R&D) ἲ⯚ⵖⵊ. ӣӣᕮጦҫẞ૮ᕮᕲ᫊ὢѢጪ⺖
Њᤎં؞؞⺖ЊᤎὢᎮ၊ᷚ؞ᤊં⃪၊ӣӣѢ▃ጪἲ૮
Ἢ၊ⵊDB ՚▃ᐗᴶᶾ⓶῾ἲᇌ▂ᶶ. ᶾࣶ↮ῶᵫ⸻ᓢ, ⚎⮆ὦ ӪЇἮӣ⦣ᕮጦ ҫẞ⒢Ҳ`ὦM&V ᐗᒃ၎ὢ ᆫఆᶢὶ
↮ᴸἮӮҲ၊՚⒢`ὦDB ՚▃ᐗᴶἲ ᫊ⵆ؞ᶾᶢဒẮὢὶ ᶢῲ⒢`ὦᐗⶓᶾ૮ⵢᤊᆺϲྣ⽶ზᶶ. ᆺᶾࣶ↮ԾἏὢ
ࢆ؞ᨎЊᐊ(R&D) லἮ؞ϲᶾᶾࣶ↮ῶϾ⺖Ӫᅪўా؞Ỳⵢ
ᤒҲఆ↮ᴲશᎮ၊ᓦᷞ՚ᶾᤊზ↮ᴸᵆ.
1) ᶾࣶ↮ೊᐟⳲ၊צྖὢཪӎலᕶᆚᶾࣶ↮ᘲḮӮဖఊᵿⵊ ᓢᅪ
ೊᐟⵢἪ၊᭖ᶾࣶ↮ῶᵫ⒊ἲἎலⵆં Ⳳ၊צྖὢ.
ὢ࿚ⵊᐞҫⵆᶾᤊᓦᷞ՚ંẞᆚࢆཪᶾࣶ↮ῶᵫᏽ⺖ⶓ
⮷ϮᅪỲⵊ؞⓶ὢ⤞ᒎὢ᪒ⷲ⹗ᏽӮဖⵢṦᢚီᕲᤋ ἲ⦣ⵢᶾࣶ↮ῶᵫ؞⓶ὢ⤞ᒎὢ᪒՚▃ᐗⶓἲ ᫊ⵆ؞Ỳⵊ
Ӫ ၊؞ఆᶶ. ᓦᷞ՚ં3ЊलᶾѦⒾ↲ఆᶢḖӪ ၊ᤊ, ᢞᶳ, ᨆᦏ, Ϯ ᶳ, ӣӣϯᕮጦᒲ၊Ẃ՚ⵆંὢ⤞Ϯὢⵆ Ꭾ၊ᕮጦᒲ၊DB ՚▃ᐗᴶ ᫊ⵆંתᐗ᫋ἲഞཾ. ὢᶾഞཪ
↮ࢊ1␖लலંϮ ᶳᕮጦצᆚӎ2␖लலંᢞᶳ ᨆᦏᕮጦ
ᶾࣶ↮ῶᵫ؞⓶ὢ⤞ᒎὢ᪒՚▃ᐗᴶἲ ᫊ⵆᷮἪ, 3ल␖ὦ
लἮӣӣ ӣ⦣ᕮጦᶾࣶ↮ῶᵫDB ՚▃ᐗᴶἲ ᫊ⵆ؞၊ⵊ.
ӣӣᕮጦ૮ⱊ`ὦ ᨆἲᢢ⮢ᓢቢ⡚Ѻӣӣ؞Ӯᶾࣶ↮ὢ ẗⵗᆚ⹂▂↲᫊Ӫ↮ᷛᶾࣶ↮ᢚᶳὢὶ. ૮ⱊ`ὦ⃪Ẃ Ἢ
၊ંӣӣ؞ӮѢጪ⺖Њᤎᢚᶳ, Ѣጪᶾࣶ↮⺖ ல, ESCOᢚ ᶳ, ӎ⺖ᶾࣶ↮؞ᾚ, ↮ᷛᶾࣶ↮᫊ᤒᓢ⁞ᏽ؞ᐆ՚▃ᢚᶳὢ
ὶ. ӣ⦣ᕮጦ૮ⱊ`ὦ Ἢ၊ંᶾࣶ↮ῶᵫ⸻ᓢ, ⚎⮆ὦ,
ே؞ᐆᶾࣶ↮ῶᵫⳲ၊צྖ1), ᶾࣶ↮ῶᵫԾἏ, ᶾࣶ↮Ϯҗᏽ؞ᨎ Њᐊ(R&D) ἲ⯚ⵖⵊ. ӣӣᕮጦҫẞ૮ᕮᕲ᫊ὢѢጪ⺖
Њᤎં؞؞⺖ЊᤎὢᎮ၊ᷚ؞ᤊં⃪၊ӣӣѢ▃ጪἲ૮
Ἢ၊ⵊDB ՚▃ᐗᴶᶾ⓶῾ἲᇌ▂ᶶ. ᶾࣶ↮ῶᵫ⸻ᓢ, ⚎⮆ὦ ӪЇἮӣ⦣ᕮጦ ҫẞ⒢Ҳ`ὦM&V ᐗᒃ၎ὢ ᆫఆᶢὶ
↮ᴸἮӮҲ၊՚⒢`ὦDB ՚▃ᐗᴶἲ ᫊ⵆ؞ᶾᶢဒẮὢὶ ᶢῲ⒢`ὦᐗⶓᶾ૮ⵢᤊᆺϲྣ⽶ზᶶ. ᆺᶾࣶ↮ԾἏὢ
ࢆ؞ᨎЊᐊ(R&D) லἮ؞ϲᶾᶾࣶ↮ῶϾ⺖Ӫᅪўా؞Ỳⵢ
ᤒҲఆ↮ᴲશᎮ၊ᓦᷞ՚ᶾᤊზ↮ᴸᵆ.
1) ᶾࣶ↮ೊᐟⳲ၊צྖὢཪӎலᕶᆚᶾࣶ↮ᘲḮӮဖఊᵿⵊ ᓢᅪ
ೊᐟⵢἪ၊᭖ᶾࣶ↮ῶᵫ⒊ἲἎலⵆં Ⳳ၊צྖὢ.
ᓦᷞ՚՚ἮἺӪЇ. ሪ΅ 2ᾓᶾᤊં՛ࢢṦӣӣ ӣ⦣
ᕮጦᶾࣶ↮ῶᵫDB ⷲ⹗ἲᕲᤋⵆᷮ. 3ᾓᶾᤊં՛ ΅ታⵇᨎ
↮ὦᶾࣶ↮΅ࣾᶾᨆ။ఊӣӣ ӣ⦣ᕮጦᶾࣶ↮⺖ӪӮဖఊᐗ ૮ⵊጦⶺἲ૮Ἢ၊ ⺖Ӫᕲᤋ؞ᒃᏽ⨚έႺἎ⸃ἲѮ
⦎ⵆᷚ՛ࢢᶾࣶ↮ῶᵫDB ՚▃ἲỲⵊ᫊ᢚ῾ἲல▊ⵊ. 4ᾓᶾ ᤊંᏦ՛⚆ᆚ⯚શᴲ⮷Ϯ⒢ҲᅪѮ⦎ⵊ⺲ӣӣ ӣ⦣ᕮጦ՛ࢢ
ᶾࣶ↮ῶᵫὢ⤞ᒎὢ᪒՚▃ᐗᴶἲ ᫊ⵊ. ࡋἪ၊ 5ᾓᶾᤊ
ંᵌᤎ४ᅪẂᵫ ᆚⵆӎᓢӎᤊᅪࡋᇨ؞၊ⵊ.
՛ ᶾࣶ↮؞՚(IEA)ં2011लᕮጦᒲ၊ᶾࣶ↮⺖ պӎᢚ ⵛἲ ᫊ⵆᷚẾ՛ὢὢⵎѱἲպӎⵆᷮ. ὢպӎᢚⵛἮӣ
⦣, Ѣጪ, Ϯῲᏽᾓᘲ, ⁞ታ, ᨆᦏ, ᢞᶳ, ᶾࣶ↮Ἆ⫦ᆚ⫞ᕮጦἪ၊
՚ᕲⵆӎὶἪ, ኖᕮጦᶾѦⒾᶾࣶ↮⺖ЊᤎἲỲⵊ⹊ேἲ
պᾓⵆӎὶ(OECD/IEA, 2011).
ⵢṦӣӣѢጪᶾࣶ↮ Ἆ⸃Ἦ᫊ᾓ؞ᐆὦᤪ⫞ᗺ(Market-Based Incentive), ઓ؞ᐆ (Performance- Based Regulations), ᓢⳲ၊
צྖἪ၊ ՚ᕲⵎ ᨆ ὶ. ᫊ᾓ؞ᐆ ὦᤪ⫞ᗺ Ἦ ᫊ ᓢ⁞
(Subsidies), ᤦ(Taxes), Cap- and-trade Ἢ၊՚ᕲఊ. ઓ؞ᐆ
Ἦᒃ(Codes) Ế؞⃮(Resource Standards), Ἆ⫦ᆚ⫞Њ⮦
(Utility Restructuring)Ἢ၊՚ᕲⵢᓪᨆὶ. ᓢⳲ၊צྖ Ἦ
ཪᒖ(Labeling), ὦ↋ᤊ(Certification) צᆚӎᓢӎ(Reporting)၊՚ᕲఊ
. <ⱊ2-1>Ӫ<ⱊ2-2>ᶾંѢጪംὦӪӣᢚᏽẢᷯᶾᷯⶓ ἲᨆὶંⵢṦϯ՛ᶾࣶ↮⺖ᏽᫎᾚᣋᶾࣶ↮ ἲẂᵫ ⵊѱὢ. ἺῶᶾᤊંⵢṦ⃪Ẃ՛ӣ⦣ᕮᕲᶾࣶ↮ῶᵫ
ᢚီᏽὢ⤞՚▃ⷲ⹗ἲᢢ⮢ᓢ؞၊ⵊ.
᫊ᾓ؞ᐆὦᤪ⫞ᗺ ઓ؞ᐆ ᓢⳲ၊צྖᏽ ኗⱊ
Ꮶ
՛
ᷞ ᐗ ᕮ
ᫎᾚᣋᶾࣶ↮ᣋᢞᤦᵏ
ӣ , ⨚ᤦᵏӣ
ᶳẗѢጪ⺖ᤦ
ӣ ($0.30-1.80/sf) RD&D ὦᤪ⫞ᗺ
⒖ᶾࣶ↮ ⁞ᤦ
⡚ക Carbon Cap &
Trade(ACES):
2012लغ↮3% ᢛϾ 2017लغ↮17% ᢛϾ 2030लغ↮42% ᢛϾ 2050लغ↮80% ᢛϾ ⺖Њ⁞૮▊ᓢ↋
Ϯῲ؞؞ᏽᶳᤒᘲ
ᶾࣶ↮⺖؞⃮
Ѣጪᶾࣶ↮ᒃ2010लغ↮
30% Њᤎ2016लغ↮
50% Њᤎ+ ᇒ3लᆶ
ᢶ၊Ảኗⱊ
ᫎᾚᣋᶾࣶ↮ጢⵎ૧ (RPS)(ACES):
2012लغ↮6%, 2020लغ↮20%, 5%ં
ᶾࣶ↮⺖ἲ⦣ⵢ▗
ᶾࣶ↮Ϯὢೊ
(EnergyGuide) Ϯῲ؞؞
ཪᒖᆯẂ՚ᢚⵛ Ϯῲ؞؞, Ѣጪᶾ૮ⵊ
ENERGY STAR
EPA؞⺲ᤎலᢞᶳ- ᕮᐊ`ḖϮ᪒
Ͼ▃Ⳳ၊צྖ
DOEં᫊ᾓὶં
ᨊ ၊(Net Zero) ᶾࣶ↮ᶳѢጪኗⱊ: 2020लغ↮ኖ؞⺲
↮ᷛ(climate zones)
Ꮶ
՛
⃪ ᕮ
ᏽ
↮
ᷛ
ᾓᘲᆚᒎὢ⪦ᏽ؞
՚ᇒẢ(buy-down) ᐗ᫋
ᫎᾚᣋᶾࣶ↮⨚ᤦᵏ ӣ
ᷢ؞⺲Ⳳ၊צྖ
(Weatherization programs) ᾚᢞ␖ᵃպ(Tax-lien)
ἣⳲ၊צྖ
(᷶: ᑲ⡢ᆚFIRST)
ேᕯ↮ᷛḖϮ᪒
ὢશ⫞ᗺ(RGGI)
⚆ᆚ⯚શᴲAB 32 : 2020लغ↮1990ल
ᐞ▊ᨆ⃮Ἢ၊ᓣ֮
⃪ ᕮRPS/EERS ISO ᫎᾚᣋᶾࣶ↮
ẗྷ᫊ᾓ Ѣጪᶾࣶ↮ᒃ (᷶: CA Title 24) ᶾࣶ↮⺖Њᤎጢ (᷶:NYC Ҳ) ӣӣѢጪᶾ૮ⵊ
१ᢷ؞⃮
(᷶: ẃ⃪, ᫊♢ӎ᫊)
؞⺲↮᪒⪦ᆚẂѢ
(᷶: ⚆ᆚ⯚શᴲ؞⺲
⹊ே↮᪒⪦ᆚ)
ᘲԾἏⳲ၊צྖ
०ேԾἏ(workforce training)
⒛ ᶾࣶ↮ᷞ՚
(᷶: PIER)
Ⴚ: Supple, D. and Imran, S., 2010.
᫊ᾓ؞ᐆὦᤪ⫞ᗺ ઓ؞ᐆ ᓢⳲ၊צྖᏽ ኗⱊ
Ꮶ
՛
ᷞ ᐗ ᕮ
ᫎᾚᣋᶾࣶ↮ᣋᢞᤦᵏ
ӣ , ⨚ᤦᵏӣ
ᶳẗѢጪ⺖ᤦ
ӣ ($0.30-1.80/sf) RD&D ὦᤪ⫞ᗺ
⒖ᶾࣶ↮ ⁞ᤦ
⡚ക Carbon Cap &
Trade(ACES):
2012लغ↮3% ᢛϾ 2017लغ↮17% ᢛϾ 2030लغ↮42% ᢛϾ 2050लغ↮80% ᢛϾ ⺖Њ⁞૮▊ᓢ↋
Ϯῲ؞؞ᏽᶳᤒᘲ
ᶾࣶ↮⺖؞⃮
Ѣጪᶾࣶ↮ᒃ2010लغ↮
30% Њᤎ2016लغ↮
50% Њᤎ+ ᇒ3लᆶ
ᢶ၊Ảኗⱊ
ᫎᾚᣋᶾࣶ↮ጢⵎ૧ (RPS)(ACES):
2012लغ↮6%, 2020लغ↮20%, 5%ં
ᶾࣶ↮⺖ἲ⦣ⵢ▗
ᶾࣶ↮Ϯὢೊ
(EnergyGuide) Ϯῲ؞؞
ཪᒖᆯẂ՚ᢚⵛ Ϯῲ؞؞, Ѣጪᶾ૮ⵊ
ENERGY STAR
EPA؞⺲ᤎலᢞᶳ- ᕮᐊ`ḖϮ᪒
Ͼ▃Ⳳ၊צྖ
DOEં᫊ᾓὶં
ᨊ ၊(Net Zero) ᶾࣶ↮ᶳѢጪኗⱊ: 2020लغ↮ኖ؞⺲
↮ᷛ(climate zones)
Ꮶ
՛
⃪ ᕮ
ᏽ
↮
ᷛ
ᾓᘲᆚᒎὢ⪦ᏽ؞
՚ᇒẢ(buy-down) ᐗ᫋
ᫎᾚᣋᶾࣶ↮⨚ᤦᵏ ӣ
ᷢ؞⺲Ⳳ၊צྖ
(Weatherization programs) ᾚᢞ␖ᵃպ(Tax-lien)
ἣⳲ၊צྖ
(᷶: ᑲ⡢ᆚFIRST)
ேᕯ↮ᷛḖϮ᪒
ὢશ⫞ᗺ(RGGI)
⚆ᆚ⯚શᴲAB 32 : 2020लغ↮1990ल
ᐞ▊ᨆ⃮Ἢ၊ᓣ֮
⃪ ᕮRPS/EERS ISO ᫎᾚᣋᶾࣶ↮
ẗྷ᫊ᾓ Ѣጪᶾࣶ↮ᒃ (᷶: CA Title 24) ᶾࣶ↮⺖Њᤎጢ (᷶:NYC Ҳ) ӣӣѢጪᶾ૮ⵊ
१ᢷ؞⃮
(᷶: ẃ⃪, ᫊♢ӎ᫊)
؞⺲↮᪒⪦ᆚẂѢ
(᷶: ⚆ᆚ⯚શᴲ؞⺲
⹊ே↮᪒⪦ᆚ)
ᘲԾἏⳲ၊צྖ
०ேԾἏ(workforce training)
⒛ ᶾࣶ↮ᷞ՚
(᷶: PIER)
Ⴚ: Supple, D. and Imran, S., 2010.
ᱽᰆ ǎԕ %# ⩥⫊ ၰ ᔍಡ ᇥᕾ
⢽ ⧕ Õྜྷᨱթḡ ᱶ₦
᫊ᾓ؞ᐆὦᤪ⫞ᗺ Ӫ؞ᐆ ᓢⳲ၊צྖᏽ ኗⱊ
Ἆ
EU ᐞ▊պў྆ 3Ҳ (Phase )
ᷯ՛(UK) ⢲Ͼ▃
⹃ᵫ(CRC)
2020लغ↮32% Ͼ▃
2050लغ↮60% Ͼ▃
DE Solar ᐊῲ␖ᵏ ல EU ં2011लغ↮
ᶾࣶ↮⺖ἲỲⵊ
ἣⱶẂ՚
Ѣጪ↮♖ᶾࣶ↮Ӫ 2020लغ↮ᫎ▃Ѣጪ
ᨊ ၊(Net zero) ᐞ▊
ᨆᆚᏽЊ⁞ᶾ૮ⵊ
╊Ẃ՚ᢚⵛ᪒ᆶ⪦
Ꮶ⤞Ẃ՚
HCFC ҲႺ
ኖ⫾ᇒᏽ૮ᷚᶾ
ᶾࣶ↮Ӫὦ↋(EPC) UK BREEAM EU ENERGY STAR BRITISH Std EN 16001
ᴲ
᫊ ᴲ A/ N Z
⸦⃪⢲Ḓᷪ΅Ͼ؞⃮
2020लغ↮2000लᨆ⃮
ᴲ྆၊5-15% Ͼ▃
ὪᓦDPJ ḖϮ᪒(GHG)
΅Ͼኗⱊ: 25% vs.
2020लغ↮1990लᨆ⃮
ⵊ՛GHG ኗⱊ:
2020लغ↮BAU ૮ᘲ
21-30% Ͼ▃
՛ῲ՚ᆚᒎὢ⪦
Ⳳ၊צྖ50% ⹆ᕶ
՛⣊ᵿӿ↮ᖃ
ὦᤪ⫞ᗺ: CNY20/w
Ὢᓦᫎᾚᣋᶾࣶ↮
ጢⵎ૧ 2010लغ↮12 TWh 2016लغ↮16 TWh ՛2006 Ѣጪᶾࣶ↮ᒃ
50% Њᤎ ᕮѢጪ
ᤒ ♆ⴲẂ
IIEC ὦலᶾࣶ↮⺖
Ѣጪᒃ
ASEAN-USAIDᒃ
՛2008 ᶾࣶ↮ᓢ⸦ᒃ -4% ᶾࣶ↮↿ᵫல΅Ͼ
ኗⱊTop 1,000 ᶾࣶ↮
؞ᶳⳲ၊צྖ3᪒⢮
᫊᪒⥊
ὦல؞⺲ேҲ
ᕮᤊ3 ՛ϮԾ⦎
CDM Ⳳ၊⪦
⸦⃪१ᢷ᪒⢮
᫊᪒⥊
Ⴚ: Supple, D. and Imran, S.,2010.
ӪўᏦ՛ᶾᤊ᫊ఊ૮ⱊ`ὦᶾࣶ↮ῶᵫ⚎⮆ὦἪ၊⚆ᆚ⯚શᴲ
⃪Flex Alert Campaign, ẃ⃪Keep Cool Campaign, ❂ऒ⫞⛥
⃪Wait ‘Til 8 Campaign, צᆚӎỲ᪒❆⃪ᫎᶾᤊ᫊ⵊFocus on Energy Umbrella Advertising Campaignὢὶ. ὢ⸻ᓢⳲ၊צ
ྖἮϯϯᒂỲ, ኗⱊ᫊ᾓ, צᆚӎኗ`ὢᤊ၊ᅢ↮ᆺ, ӣ⦣`Ἢ
၊Ⳳ၊צྖ⺖Ӫࢆ⮷Ϯᅪ⒢Ҳ`Ἢ၊ᐉἮ`Ἦᶴ.
Flex AlertἮ⚆ᆚ⯚શᴲ⃪ ᕮϮῲ؞ᨆẂϮ⡚ᶾⵎഺϯ
ᢚᶳ⒢, ӣӣ؞Ӯ, Ϯ ᶳᕮጦᶾآᷞཫἲⵆᷚᐊ`Ἢ၊
ῲ؞ᨆẂᅪὢѺⵆંῲဓᕮⵆӮᆚⳲ၊צྖὢ. ҫᓢᐊဧ᫊Flex Alert3Ϯ↮ே↮♖Ἦሪ΅ᕶⴲẂⵊῲὢࢆ⛢Ⳗ⤞ᏽϮῲ ⱶᢚẗἲ↮, ాᑶ⇦၊ᤦ⢯؞, ⒛؞, ᫋؞ᤦ⒇؞Ϯῲ ⱶᢚẗἲ⡚⢮ὲὢ↮ࢎഺغ↮ᷞ؞, ᆶ↮ᆷἪ၊ࢢᶾᶢ⛖
Ḗலᅪ78°F(25.55 )ὢἪ၊Ἆ↮ⵆંѱὢ. 2004ल7Ểᕮ⤞
᫊ఆᶢᤊ2004लᶾ9ᑶ, 2005लᶾ10ᑶ, צᆚӎϮᾓୂỎ2006 लᶾં┋18ᑶҫᓢϮẦᆞᐂὶ.
Keep Cool CampaignἮ2002लẃ⃪ᶾᤊ250ᆺ࿚ᘲẗἲ
⨚ⵆᷚ⡚ᕮⵆϾḮᶾࣶ↮᪒⢮ ⱶ⸻ᓢᅪ⦣ⵊ᫊ᾓᒮ
⹂ᶾ؞ᷚⵆ؞Ỳⵢᆺᶢ›. ᷚᅲேᴶᤦϮ↮ᶾࣶ↮⫯ἲ↮
⢒ல။ᘲᅪᾓဒⵆંሮ⫞Ꮶംᶢᆶ⛮⫳⚎⮆ὦὢᶶ. ⒙ᑶ⇦
ંᶾࣶ↮᪒⢮ ⱶ՚ᇒ, ాᑶ⇦ંᘲ⡚᫊ϲᶾ⃪ᐗ؞՚ᢚẗ,
ᤦᑶ⇦ંᶾᶢ⛖ேḖல⁞ῶᾓ♆Ḯ⢮ὢሦᢚẗὢ. 2002ल⚎
⮆ὦἪ၊ὦⵢ94.1MWᕮⵆϮὢேӎ⮷Ϯⵆӎὶ.
ӪўᏦ՛ᶾᤊ᫊ఊ૮ⱊ`ὦᶾࣶ↮ῶᵫ⚎⮆ὦἪ၊⚆ᆚ⯚શᴲ
⃪Flex Alert Campaign, ẃ⃪Keep Cool Campaign, ❂ऒ⫞⛥
⃪Wait ‘Til 8 Campaign, צᆚӎỲ᪒❆⃪ᫎᶾᤊ᫊ⵊFocus on Energy Umbrella Advertising Campaignὢὶ. ὢ⸻ᓢⳲ၊צ
ྖἮϯϯᒂỲ, ኗⱊ᫊ᾓ, צᆚӎኗ`ὢᤊ၊ᅢ↮ᆺ, ӣ⦣`Ἢ
၊Ⳳ၊צྖ⺖Ӫࢆ⮷Ϯᅪ⒢Ҳ`Ἢ၊ᐉἮ`Ἦᶴ.
Flex AlertἮ⚆ᆚ⯚શᴲ⃪ ᕮϮῲ؞ᨆẂϮ⡚ᶾⵎഺϯ
ᢚᶳ⒢, ӣӣ؞Ӯ, Ϯ ᶳᕮጦᶾآᷞཫἲⵆᷚᐊ`Ἢ၊
ῲ؞ᨆẂᅪὢѺⵆંῲဓᕮⵆӮᆚⳲ၊צྖὢ. ҫᓢᐊဧ᫊Flex Alert3Ϯ↮ே↮♖Ἦሪ΅ᕶⴲẂⵊῲὢࢆ⛢Ⳗ⤞ᏽϮῲ ⱶᢚẗἲ↮, ాᑶ⇦၊ᤦ⢯؞, ⒛؞, ᫋؞ᤦ⒇؞Ϯῲ ⱶᢚẗἲ⡚⢮ὲὢ↮ࢎഺغ↮ᷞ؞, ᆶ↮ᆷἪ၊ࢢᶾᶢ⛖
Ḗலᅪ78°F(25.55 )ὢἪ၊Ἆ↮ⵆંѱὢ. 2004ल7Ểᕮ⤞
᫊ఆᶢᤊ2004लᶾ9ᑶ, 2005लᶾ10ᑶ, צᆚӎϮᾓୂỎ2006 लᶾં┋18ᑶҫᓢϮẦᆞᐂὶ.
Keep Cool CampaignἮ2002लẃ⃪ᶾᤊ250ᆺ࿚ᘲẗἲ
⨚ⵆᷚ⡚ᕮⵆϾḮᶾࣶ↮᪒⢮ ⱶ⸻ᓢᅪ⦣ⵊ᫊ᾓᒮ
⹂ᶾ؞ᷚⵆ؞Ỳⵢᆺᶢ›. ᷚᅲேᴶᤦϮ↮ᶾࣶ↮⫯ἲ↮
⢒ல။ᘲᅪᾓဒⵆંሮ⫞Ꮶംᶢᆶ⛮⫳⚎⮆ὦὢᶶ. ⒙ᑶ⇦
ંᶾࣶ↮᪒⢮ ⱶ՚ᇒ, ాᑶ⇦ંᘲ⡚᫊ϲᶾ⃪ᐗ؞՚ᢚẗ,
ᤦᑶ⇦ંᶾᶢ⛖ேḖல⁞ῶᾓ♆Ḯ⢮ὢሦᢚẗὢ. 2002ल⚎
⮆ὦἪ၊ὦⵢ94.1MWᕮⵆϮὢேӎ⮷Ϯⵆӎὶ.
Item Flex Your Alert keep Cool UI Wait ‘Til 8 UmbrellaAdvertising Ѯ⦎
؞ϲ 2003ल 2002ल 2003ल 2002~2003
⃪Ẃ
ኗⱊ
ᕶⴲẂⵊῲ
, ᶾᶢ⛖Ḗல
⁞ῶ, ᤦ⢯؞,
᫋؞ᤦ⒇؞
Ḓ⺲7᫊ὢ⺲
ᢚẗ
ᶾࣶ↮᪒⢮ ⱶ
՚ᇒ, ᘲ⡚᫊ᶾ
ᤦ⢯Ӫᤒў↮, ᶾᶢ⛖ே⁞ῶ
ᾓ♆Ḯ⢮ὢሦ
ᢚẗ
9-5ᶾὪⵆં⃪ў
ᘲ8᫊ὢ⺲
ᶾࣶ↮ᢚẗ
Focus on Energyᶾ
૮ⵊὦ᫋Ӫ
Ⳳ၊צྖ␦ᷚ
ӎ◖; ᶾࣶ↮᪒⢮
⸻ᓢ
ࢢẗ
2001 ᶾࣶ↮Ỳ؞
⺲, 1ᶣᕶӿӎḮ
2001-02लேᴶ
⚎⮆ὦ↮Ế
3ल␖ᷚᅲ⚎⮆ὦ
❂ऒ⫞⛥ᤊᕮ
ϯⵊῲᦏ ⵊӪ
ᷚᅲ⡚ᕮⵆ
ᷪဒᶾ૮ⵊ
૮Ἷ1ल␖
ᷚᅲ⚎⮆ὦ
⫞ᗺὢӿӎ
Ϯ᫊ὢFOE
؞ ♆`
४ᾯἪ၊ጦ ఖ. ঀἮⳲ၊ⴲӪ
ᘲTVӿӎ ў Ⳳ၊צ
ྖ᷶ᢞ 1500ᆺᕶ 450ᆺᕶ NA NA
Ꮶംᶢ
᷶ᢞ 1140ᆺᕶ 350ᆺᕶ 35ᆺᕶ 200ᕶ->
69ᆺᕶ၊Ͼ▃
⃪Ẃ
ኗⱊ
2लࢢ؞؞ᢢ
Ϯઓὶં⃪⣋
Ἆ૮
૮ᇒ⒢⸻ᓢ
ኖẃ⃪⃪ў
ᶾࣶ↮ᘲ
❂ऒ⫞⛥16Њ
⃪Ẃᆶἲ⃪ў
ኖỲ᪒❆ᫎ
ᶾࣶ↮ᘲ
ᕮ
ኗⱊ
ኖᶾࣶ↮
ᘲ
ࢢᶾᶢ⛖Ӫ
ᅦ ⱶ՚ᇒ
❂ऒ⫞⛥52Њ
ᆶἲኖ
⃪ў
ᶾࣶ↮ ⱶ
՚ᇒ
Ⴚ: Quantum Consulting Inc.,. Volulme O1-Crosscutting-Advertising Best Practice Report, 2004
Wait ‘Til 8 CampaignἮ2003ल❂ऒ⫞⛥⃪ᶾᤊ᫊ఆᶶ. ᘲ
ேᒮ⹂Ϯ❂ऒ⫞⛥↮ᷛᷚᅲ⡚ᶾᶾࣶ↮ᢚẗἲὪᨆ
ὶંѱἲὦ᫊᫋⢒؞Ỳⵆᷚ↮ᷛᫎጦ, ཪംḒ, ⫞ᗺὢӿӎḮӣ ὣӿӎᅪὢẗⵊ35ᆺ࿚Ꮶംᶢ⸻ᓢ०ဓὪ⹆ὢᶶ. ᘲ
ᶾѺ΅य8᫊ὢ⺲ᶾ⭺Ⳳᅪᢚẗⵆᷚᤦ⢯Ӫᤒў↮ᅪⵆல။
⓷՚ⵊᐂὶ.
Focus on Energy Umbrella Advertising CampaignἮᶾࣶ↮᪒⢮
ⱶӪFocus on Energyᅪⱶ⹂ⵆ؞Ỳⵆᷚẞᢞᆶ⛮⫳ἲⵊTV ӿӎᷮ. ҲఊᏦംᶢ᷶ᢞἮẾ྆2ᐟᆺ࿚ᷮἪࢆỲ᪒❆⃪ᫎ
ᕮἣỲ؞ᶾⵢ⓷↲ఊFocus on Energy Ⳳ၊צྖῲ⒢`
ὦᢛϾὪ⹆Ἢ၊69ᆺ࿚၊Ͼఊᐂὶ.
ὢᶾᤊᢢ⮢ᓦᐂḮЇὢᏦ՛ᶾᤊӪўᵿⵊᶾࣶ↮ῶᵫ⚎⮆
ὦἲ᫊ⵆᷮἪࢆ, ⚆ᆚ⯚શᴲ⃪Flex Alert Ⳳ၊צྖἲ Ṧⵊ૮ ᕮᕲⳲ၊צྖᶾ૮ⵢᶾࣶ↮ῶᵫ⺖ӪᕲᤋὢࢆⳲ၊צྖ⮷Ϯ (Evaluation)Ϯᨆఊᐂᶴ. ὪᕮҲఆᶢ↲צᆚӎᕮᕲ`ὦ
ӪᆺὢὢẗϮઓⵆӎᴺဒ…ὶ. ഞཪᤊἺᾓᶾᤊં⚆ᆚ⯚શ ᴲ⃪ᶾࣶ↮ῶᵫ⚎⮆ὦὦFlex Alert Ⳳ၊צྖᶾࣶ↮ῶϾ⺖Ӫ
ᕲᤋӪDB՚▃ᶾӮⵊᢚီᅪ↿`Ἢ၊ᢢ⮢ᓦ.
⚆ᆚ⯚શᴲளᆫҲ⦣Ảᷯ؞Ӯ(California Independent System Operator; ὢⵆCAISO)Ἦᷚᅲ⒎ῲ؞ӣྷὢᨆẂྷἲ▗ ⵆ↮
ኩⵊӎ⫾ఆቢ, ᶦ၎ᇒ⒢ᅪῲྣ`Ἢ၊⹊ẗⵊ“ῲဓҫᓢ: ↮
ᶾࣶ↮ᅪῶϾⵆᤦẂ(Flex Alert: Save Energy Now!) ⚎⮆ὦἲ⦣ⵢ
⡚ῲဓᢚẗῶϾἲἎலⵆӎὶ.
ὢ⚎⮆ὦἮ3Ϯ↮⃪ẂῶϾேἲպᾓⵆӎὶંጢୂẢᷚᅲ
Ḓ⺲Flex Alertὢ᫊ఆቢᕶⴲẂⵊῲ, 78 ᓢঀἮࢢ
Ḗலᤒ , ᶾࣶ↮ᘲ؞؞(ᤦ⢯؞, ᫋؞ᤦ⒇؞)Ḓ⺲7᫊ὢ⺲
ᢚẗὢ⃪Ẃࢢẗὢ.
⓷՚ⵊᐂὶ.
Focus on Energy Umbrella Advertising CampaignἮᶾࣶ↮᪒⢮
ⱶӪFocus on Energyᅪⱶ⹂ⵆ؞Ỳⵆᷚẞᢞᆶ⛮⫳ἲⵊTV ӿӎᷮ. ҲఊᏦംᶢ᷶ᢞἮẾ྆2ᐟᆺ࿚ᷮἪࢆỲ᪒❆⃪ᫎ
ᕮἣỲ؞ᶾⵢ⓷↲ఊFocus on Energy Ⳳ၊צྖῲ⒢`
ὦᢛϾὪ⹆Ἢ၊69ᆺ࿚၊Ͼఊᐂὶ.
ὢᶾᤊᢢ⮢ᓦᐂḮЇὢᏦ՛ᶾᤊӪўᵿⵊᶾࣶ↮ῶᵫ⚎⮆
ὦἲ᫊ⵆᷮἪࢆ, ⚆ᆚ⯚શᴲ⃪Flex Alert Ⳳ၊צྖἲ Ṧⵊ૮ ᕮᕲⳲ၊צྖᶾ૮ⵢᶾࣶ↮ῶᵫ⺖ӪᕲᤋὢࢆⳲ၊צྖ⮷Ϯ (Evaluation)Ϯᨆఊᐂᶴ. ὪᕮҲఆᶢ↲צᆚӎᕮᕲ`ὦ
ӪᆺὢὢẗϮઓⵆӎᴺဒ…ὶ. ഞཪᤊἺᾓᶾᤊં⚆ᆚ⯚શ ᴲ⃪ᶾࣶ↮ῶᵫ⚎⮆ὦὦFlex Alert Ⳳ၊צྖᶾࣶ↮ῶϾ⺖Ӫ
ᕲᤋӪDB՚▃ᶾӮⵊᢚီᅪ↿`Ἢ၊ᢢ⮢ᓦ.
⚆ᆚ⯚શᴲளᆫҲ⦣Ảᷯ؞Ӯ(California Independent System Operator; ὢⵆCAISO)Ἦᷚᅲ⒎ῲ؞ӣྷὢᨆẂྷἲ▗ ⵆ↮
ኩⵊӎ⫾ఆቢ, ᶦ၎ᇒ⒢ᅪῲྣ`Ἢ၊⹊ẗⵊ“ῲဓҫᓢ: ↮
ᶾࣶ↮ᅪῶϾⵆᤦẂ(Flex Alert: Save Energy Now!) ⚎⮆ὦἲ⦣ⵢ
⡚ῲဓᢚẗῶϾἲἎலⵆӎὶ.
ὢ⚎⮆ὦἮ3Ϯ↮⃪ẂῶϾேἲպᾓⵆӎὶંጢୂẢᷚᅲ
Ḓ⺲Flex Alertὢ᫊ఆቢᕶⴲẂⵊῲ, 78 ᓢঀἮࢢ
Ḗலᤒ , ᶾࣶ↮ᘲ؞؞(ᤦ⢯؞, ᫋؞ᤦ⒇؞)Ḓ⺲7᫊ὢ⺲
ᢚẗὢ⃪Ẃࢢẗὢ.
Ⴚ: CALMAC, FLEX ALERT CAMPAIGN EVALUATION REPORT, p13, 2008
1) ⮷Ϯᐗᒃ
Flex AlertἮᶦ၎ἲὢẗⵊ⚎⮆ὦἪ၊צ⺖Ӫᅪᴺᴲᓢ؞Ỳⵢᤊ
ંᘲϮ⚎⮆ὦἲᶢඩѺὦ᫋Ἢ, ὢᶾഞᅦỲᒮ⹂Ϯᶢ ඩѺࢆ⢮ࢆં↮ᅪ⹃ὦⵢᵪⵊ. ὢᅪỲⵆᷚFlex AlertӪӮဖⵆ
ᷚ☣`ኖશ⤞ᆯӪᤒጦ↮⁞ᢚ, ⯚⛒᪒צყ(focus group), ϲ
⺖Ӫᕲᤋ(Indirect Impact Analysis)ᐗᒃἲ᫊ⵆӎὶ.
ኖશ⤞ᆯ
ẞᤎኖશ⤞ᆯἲ⦣ⵆᷚ⚎⮆ὦῲᐗᒃ`ῶӪ⚎⮆ὦᶾഞ ᅦᘲᐆἿἲᕲᤋⵊ. ῲᐗᒃ`ῶⵖἲᕲᤋⵆ؞Ỳⵆᷚ
CAISO, IOU(Investor-owned utility)ᓢலႺḮ⸶⮆ὢ↮ᅪ☣
ᕲᤋⵆᷚFlex Alert ᓢϮ`ῶ⽶ᐆᷯఆӎὶં↮ᅪᕲᤋⵊ.
ᘲỲᒮ⹂ᕲᤋἲỲⵢᤊં⚎⮆ὦ؞ϲἮጪ၎ࡋࢊ⺲
ᶾல⸶⮆ὢ↮ᐗጦᘶலᅪࢆ⢮ࢢ⃪ં⸶⮆ὢ↮⪦྆ᒮ⹂ྷἲ
ᕲᤋⵆᷚ ᢚེ Ӯὢ ᶢඩѺ ࢆ⢮ࢆӎ ὶં↮ ᕲᤋⵆӎ, Flex Alert ᓢᅪᐉᴲᓪᨆὶંቂὪᆯᤊᘲ᪒ḮSMS ᤊᘲ᪒Ϯέ
ᨆலᢢ⮢ᓦ.
⚎⮆ὦῲᐗᒃ ᘲᐆἿ
⸶⮆ὢ↮ᶾᤊᶾࣶ↮ῶᵫᶾ૮ⵊ৶ᶾ༲ંỲ♆ᷚᕮ Flex Alert ၊ӎ
ᶾࣶ↮ῶᵫ⫯
ᷞҲఊⳲ၊צྖ(᷶, FYP) ⸧Ἦ▂Ϯ`ὦ ᓢϮᷞҲ
ᶾࣶ↮ῶᵫⴲẂᶾ૮ⵊᤒታ
⡚ᨆẂᶾ૮ⵊᤒታ
⸶⮆ὢ↮⪦
Flex Alert ቂὪᆯ SMS Ϯέᨆ
Ⴚ: CALMAC, FLEX ALERT CAMPAIGN EVALUATION REPORT, table 3-1 ᾚ՚. p38, 2008
ᤒጦ⁞ᢚᏽ⯚⛒᪒צყ
ᤒጦ⁞ᢚ(post-event survey)ંᶦ၎՚ᷛᶾഞᅦὦ՚૮ᘲᣆ⳺ἲ
▂▊ⵆᷚὦ՚⁞ᢚ᫊᪒⥊(Population Research System; PRS)ὦῲ⹂
ᅪὢẗⵊᤒጦ⁞ᢚ᫊ⵆᷮ. ⁞ᢚ؞ϲἮFlex Alertὢࡋࢊ↯⺲
ὦ7Ể10Ὢᕮ⤞21Ὢغ↮᫊ⵆᷮἪ, 1230Њ⁞ᢚϮ᫊ఆᶶ
. ⪧⽶ᶾᶢ⛖Ӫ⁞ታᶾ૮ⵊᤒጦἲ↿`Ἢ၊᫊ⵆᷮ.
⯚⛒᪒צყ(Focus group)ἮFlex Alertቂ᫊↮ᶾ૮ⵊᘲὦ
᫋ӪӎЋᤦᕲ⹂ῲྣ⢾՚ᶾഞᅦᘲᐆἿἲᕲᤋⵆ؞Ỳⵆᷚ
᫊ⵊѱἪ၊⃪Ẃல᫊(Fresno, Irvine, San Diego)ᅪᤎ ⵆᷚ↲
ⵆᷮ. צყᤎ ᶾὶᶢᤊં♊⹂`ὦⶓᢚེᶾᤊᕮ⤞⹆ҫᶾ
ጢӮⵊᢚེغ↮⯚ⵖⵆᷮἪ, ⵊצყᶾⵊᢚེἮ6ታἲ
؞ᓦἪ၊ ᤒ ⵆᷮ. ᷞဧἮ 35-49ᤦὢӎ Ϯ ⃪⣋Ἆં ╊
ೋὢ$75,000 ὢὢӎ, ὲ␖ὦҫẞં╊૮ೋὢ$125,000Ἢ
၊ ⵊⵆᷮ. ⵊᨊᨆⵊFlex AlertᐆἿἲ☏ ⵆ؞ỲⵆᷚϮ ⸧ἮϮغẢὪϮ♊⒇ὢᶾࣶ↮ḮӮဖఊᢚ⸧ἮἎ⫦ᆚ⫞
ᶾתጢⵆӎὶંᢚེἮ Ṧⵆᷮ.
⚎⮆ὦῲᐗᒃ ᘲᐆἿ
⸶⮆ὢ↮ᶾᤊᶾࣶ↮ῶᵫᶾ૮ⵊ৶ᶾ༲ંỲ♆ᷚᕮ Flex Alert ၊ӎ
ᶾࣶ↮ῶᵫ⫯
ᷞҲఊⳲ၊צྖ(᷶, FYP) ⸧Ἦ▂Ϯ`ὦ ᓢϮᷞҲ
ᶾࣶ↮ῶᵫⴲẂᶾ૮ⵊᤒታ
⡚ᨆẂᶾ૮ⵊᤒታ
⸶⮆ὢ↮⪦
Flex Alert ቂὪᆯ SMS Ϯέᨆ
Ⴚ: CALMAC, FLEX ALERT CAMPAIGN EVALUATION REPORT, table 3-1 ᾚ՚. p38, 2008
ᤒጦ⁞ᢚᏽ⯚⛒᪒צყ
ᤒጦ⁞ᢚ(post-event survey)ંᶦ၎՚ᷛᶾഞᅦὦ՚૮ᘲᣆ⳺ἲ
▂▊ⵆᷚὦ՚⁞ᢚ᫊᪒⥊(Population Research System; PRS)ὦῲ⹂
ᅪὢẗⵊᤒጦ⁞ᢚ᫊ⵆᷮ. ⁞ᢚ؞ϲἮFlex Alertὢࡋࢊ↯⺲
ὦ7Ể10Ὢᕮ⤞21Ὢغ↮᫊ⵆᷮἪ, 1230Њ⁞ᢚϮ᫊ఆᶶ
. ⪧⽶ᶾᶢ⛖Ӫ⁞ታᶾ૮ⵊᤒጦἲ↿`Ἢ၊᫊ⵆᷮ.
⯚⛒᪒צყ(Focus group)ἮFlex Alertቂ᫊↮ᶾ૮ⵊᘲὦ
᫋ӪӎЋᤦᕲ⹂ῲྣ⢾՚ᶾഞᅦᘲᐆἿἲᕲᤋⵆ؞Ỳⵆᷚ
᫊ⵊѱἪ၊⃪Ẃல᫊(Fresno, Irvine, San Diego)ᅪᤎ ⵆᷚ↲
ⵆᷮ. צყᤎ ᶾὶᶢᤊં♊⹂`ὦⶓᢚེᶾᤊᕮ⤞⹆ҫᶾ
ጢӮⵊᢚེغ↮⯚ⵖⵆᷮἪ, ⵊצყᶾⵊᢚེἮ6ታἲ
؞ᓦἪ၊ ᤒ ⵆᷮ. ᷞဧἮ 35-49ᤦὢӎ Ϯ ⃪⣋Ἆં ╊
ೋὢ$75,000 ὢὢӎ, ὲ␖ὦҫẞં╊૮ೋὢ$125,000Ἢ
၊ ⵊⵆᷮ. ⵊᨊᨆⵊFlex AlertᐆἿἲ☏ ⵆ؞ỲⵆᷚϮ ⸧ἮϮغẢὪϮ♊⒇ὢᶾࣶ↮ḮӮဖఊᢚ⸧ἮἎ⫦ᆚ⫞
ᶾתጢⵆӎὶંᢚེἮ Ṧⵆᷮ.
ᱽᰆ ǎԕ %# ⩥⫊ ၰ ᔍಡ ᇥᕾ
ϲᷯⶓ⮷Ϯ
ᤒጦ↮ϮᨆẂᐆἿ(DR)ἲ☏ ቢ, ϲᷯⶓ⮷Ϯંᤒጦ⁞ᢚ
ҞӪᅪὢẗⵆᷚFlex Alert ᷯⶓဓἲ⮷ϮḮצҞӪᅪẂᵫ ⵊ. ⪧⽶ϲᷯⶓ⮷Ϯᶾᤊંᶾᶢ⛖Ӫ⁞ታ⺖Ӫᶾ↿ⵆᷮં
ὢં⮷ὪḒ⺲ᏽ΅यϮῲ؞؞ᕮⵆᶾ⁞ታӪᶾᶢ⛖ὢ␖↮ⵆ
ંᘲὢঀѺࢆ⢮࢚؞ഺጦὢ. ᤒጦ↮ἿૣἲᕲᤋⵊҞӪFlex Alertὢ᫊ⵊ؞ϲើᆺᴲશཪצᷞᾓᤎᶾᤊலᶾࣶ↮ῶϾἲ᫊
ⵊѱἪ၊ࢆ⢮࢚.
⢽ ⪹ᔑĥᙹ
ᘶல(ࢎ⇊) ᷯⶓ☏ ⹆ᢞҲᨆ
1~4 1
5 0.75
6 0.5
7 0.25
8 0.25
9 0.25
10 0.25
11 0.25
Ⴚ: CALMAC, FLEX ALERT CAMPAIGN EVALUATION REPORT, p105, 2008
ὢᅪᐆᷯⵆ؞Ỳⵆᷚ⹆ᢞҲᨆᅪ`ẗⵆᷮંFlex Alert ؞ϲ
ᐆἿὢ100%ཪӎ Ϯ ⵆቢ ᫊ϲᶾ ⼾ᅲᶾ ഞཪ ᢚེ ᐆἿἮ
Flex AlertἪ၊ὦⵊேὢᴲશ؞ഺጦᶾὢᅪᷯⶓ☏ ⹆ᢞҲᨆᅪ
ὢẗⵆᷚ⁞ ⵆᷮ.
⁞ታኖ୦
ⵊӎἿૣⵊἿૣᷯⶓဓἲ☏ ⵆ؞ỲⵆᷚἺӪЇ Ἦ᫋ἲᢚẗⵆᷮ.
ƇƋƎſƁƒÞƆƍƓƐß á ćƀƓƊƀƑ Z ƕſƒƒſƅƃ Z ſƁƒƇƍƌÞƆƍƓƐßÞÐì ƄƐƃƏƓƃƌƁƗß
ZƐƃƏƓƃƌƁƗ¬ƁſƊƃſƁƒƍƐ
ᷚ؞ᤊ ƆƍƓƐ᫊ϲἮ 3Ὢ ேᴶ Flex Alert ᫊ϲἲ ᏦⵆᎮ၊
(1....72)ЀἲЄἪ, ƇƋƎſƁƒÞƆƍƓƐßἮ᫊ϲ૧ᷯⶓဓἲᆾⵊ(kW).
ƀƓƊƀƑંϮ ᶾᤒ♆ఊῲ՚ᨆ, ƕſƒƒſƅƃંῲ՚૧Ḯ⪦ᅪ▂ ⵊ
ѱὢ(ⱊ2-6 ␦⁞). ᢚẗ᫊ϲἮ(1,0)Ἢ၊, 1ὢቢἿૣϮⵢ૧᫊ϲ ᶾἲ᫊ંѱὢӎ, 0ὢቢצᐆ૮ᅪᏦⵊ. ƄƐƃƏƓƃƌƁƗ
ં ேἲ᫊ⵊࢎ⇊ᅪᏦⵊ(0~11).
ƐƃƏƓƃƌƁƗ¬ƁſƊƃſƁƒƍƐં<ⱊ2-5>⹆ᢞҲᨆᅪᏦⵊ.
ῲ՚ᅆ Ḯ⪦Ѐ
ᐟᷢ՚ 60
⸃ӿ 15
ᒫᷢ՚Ḯ⸃ӿ⸪ⵗ⸃ 35
Ⴚ: CALMAC, FLEX ALERT CAMPAIGN EVALUATION REPORT, p106, 2008
ᶾᶢ⛖ኖ୦
Ἷૣᶾᶢ⛖ᕮⵆϾྷἲ☏ ⵆ؞Ỳⵢᤊં؞⺲՚ᷛ, ⃪ ўቢ`, Ѣጪᨆታ, ᶾᶢ⛖ᤒ ḖலӿᒂỲⵊᕲᵪᅪὢẗⵊ